Spaces:
Runtime error
Runtime error
Brian Burns
commited on
Commit
•
ca9b0e0
1
Parent(s):
d732c07
Add application file, pytorch saved models, requirements file
Browse files- .DS_Store +0 -0
- app.py +27 -0
- requirements.txt +436 -0
- saved_model_files/.DS_Store +0 -0
- saved_model_files/config.json +34 -0
- saved_model_files/preprocessor_config.json +17 -0
- saved_model_files/pytorch_model.bin +3 -0
- saved_model_files/training_args.bin +3 -0
.DS_Store
ADDED
Binary file (6.15 kB). View file
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app.py
ADDED
@@ -0,0 +1,27 @@
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import datasets
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from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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import gradio as gr
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dataset = datasets.load_dataset("beans")
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extractor = AutoFeatureExtractor.from_pretrained("saved_model_files")
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model = AutoModelForImageClassification.from_pretrained("saved_model_files")
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labels = dataset['train'].features['labels'].names
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def classify(im):
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features = feature_extractor(im, return_tensors='pt')
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logits = model(features["pixel_values"])[-1]
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probability = torch.nn.functional.softmax(logits, dim=-1)
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probs = probability[0].detach().numpy()
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confidences = {label: float(probs[i]) for i, label in enumerate(labels)}
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return confidences
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interface = gr.Interface(fn = classify, inputs = "image", outputs = "label",
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title = "Plant health classifier",
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description = "Classifies plant health"
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)
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interface.launch()
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requirements.txt
ADDED
@@ -0,0 +1,436 @@
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1 |
+
absl-py==1.2.0
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2 |
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aeppl==0.0.33
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3 |
+
aesara==2.7.9
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4 |
+
aiohttp==3.8.3
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5 |
+
aiosignal==1.2.0
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6 |
+
alabaster==0.7.12
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7 |
+
albumentations==1.2.1
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8 |
+
altair==4.2.0
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9 |
+
anyio==3.6.1
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10 |
+
appdirs==1.4.4
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11 |
+
arviz==0.12.1
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12 |
+
astor==0.8.1
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13 |
+
astropy==4.3.1
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14 |
+
astunparse==1.6.3
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15 |
+
async-timeout==4.0.2
|
16 |
+
asynctest==0.13.0
|
17 |
+
atari-py==0.2.9
|
18 |
+
atomicwrites==1.4.1
|
19 |
+
attrs==22.1.0
|
20 |
+
audioread==3.0.0
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21 |
+
autograd==1.5
|
22 |
+
Babel==2.10.3
|
23 |
+
backcall==0.2.0
|
24 |
+
bcrypt==4.0.0
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25 |
+
beautifulsoup4==4.6.3
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26 |
+
bleach==5.0.1
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27 |
+
blis==0.7.8
|
28 |
+
bokeh==2.3.3
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29 |
+
branca==0.5.0
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30 |
+
bs4==0.0.1
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31 |
+
CacheControl==0.12.11
|
32 |
+
cached-property==1.5.2
|
33 |
+
cachetools==4.2.4
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34 |
+
catalogue==2.0.8
|
35 |
+
certifi==2022.9.24
|
36 |
+
cffi==1.15.1
|
37 |
+
cftime==1.6.2
|
38 |
+
chardet==3.0.4
|
39 |
+
charset-normalizer==2.1.1
|
40 |
+
click==7.1.2
|
41 |
+
clikit==0.6.2
|
42 |
+
cloudpickle==1.5.0
|
43 |
+
cmake==3.22.6
|
44 |
+
cmdstanpy==1.0.7
|
45 |
+
colorcet==3.0.1
|
46 |
+
colorlover==0.3.0
|
47 |
+
community==1.0.0b1
|
48 |
+
confection==0.0.2
|
49 |
+
cons==0.4.5
|
50 |
+
contextlib2==0.5.5
|
51 |
+
convertdate==2.4.0
|
52 |
+
crashtest==0.3.1
|
53 |
+
crcmod==1.7
|
54 |
+
cryptography==38.0.1
|
55 |
+
cufflinks==0.17.3
|
56 |
+
cupy-cuda11x==11.0.0
|
57 |
+
cvxopt==1.3.0
|
58 |
+
cvxpy==1.2.1
|
59 |
+
cycler==0.11.0
|
60 |
+
cymem==2.0.6
|
61 |
+
Cython==0.29.32
|
62 |
+
daft==0.0.4
|
63 |
+
dask==2022.2.0
|
64 |
+
datascience==0.17.5
|
65 |
+
datasets==2.5.2
|
66 |
+
debugpy==1.0.0
|
67 |
+
decorator==4.4.2
|
68 |
+
defusedxml==0.7.1
|
69 |
+
descartes==1.1.0
|
70 |
+
dill==0.3.5.1
|
71 |
+
distributed==2022.2.0
|
72 |
+
dlib==19.24.0
|
73 |
+
dm-tree==0.1.7
|
74 |
+
docutils==0.17.1
|
75 |
+
dopamine-rl==1.0.5
|
76 |
+
earthengine-api==0.1.326
|
77 |
+
easydict==1.10
|
78 |
+
ecos==2.0.10
|
79 |
+
editdistance==0.5.3
|
80 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.0/en_core_web_sm-3.4.0-py3-none-any.whl
|
81 |
+
entrypoints==0.4
|
82 |
+
ephem==4.1.3
|
83 |
+
et-xmlfile==1.1.0
|
84 |
+
etils==0.8.0
|
85 |
+
etuples==0.3.8
|
86 |
+
evaluate==0.2.2
|
87 |
+
fa2==0.3.5
|
88 |
+
fastai==2.7.9
|
89 |
+
fastapi==0.85.0
|
90 |
+
fastcore==1.5.27
|
91 |
+
fastdownload==0.0.7
|
92 |
+
fastdtw==0.3.4
|
93 |
+
fastjsonschema==2.16.2
|
94 |
+
fastprogress==1.0.3
|
95 |
+
fastrlock==0.8
|
96 |
+
feather-format==0.4.1
|
97 |
+
ffmpy==0.3.0
|
98 |
+
filelock==3.8.0
|
99 |
+
firebase-admin==4.4.0
|
100 |
+
fix-yahoo-finance==0.0.22
|
101 |
+
Flask==1.1.4
|
102 |
+
flatbuffers==22.9.24
|
103 |
+
folium==0.12.1.post1
|
104 |
+
frozenlist==1.3.1
|
105 |
+
fsspec==2022.8.2
|
106 |
+
future==0.16.0
|
107 |
+
gast==0.5.3
|
108 |
+
GDAL==2.2.2
|
109 |
+
gdown==4.4.0
|
110 |
+
gensim==3.6.0
|
111 |
+
geographiclib==1.52
|
112 |
+
geopy==1.17.0
|
113 |
+
gin-config==0.5.0
|
114 |
+
glob2==0.7
|
115 |
+
google==2.0.3
|
116 |
+
google-api-core==1.31.6
|
117 |
+
google-api-python-client==1.12.11
|
118 |
+
google-auth==1.35.0
|
119 |
+
google-auth-httplib2==0.0.4
|
120 |
+
google-auth-oauthlib==0.4.6
|
121 |
+
google-cloud-bigquery==1.21.0
|
122 |
+
google-cloud-bigquery-storage==1.1.2
|
123 |
+
google-cloud-core==1.0.3
|
124 |
+
google-cloud-datastore==1.8.0
|
125 |
+
google-cloud-firestore==1.7.0
|
126 |
+
google-cloud-language==1.2.0
|
127 |
+
google-cloud-storage==1.18.1
|
128 |
+
google-cloud-translate==1.5.0
|
129 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz
|
130 |
+
google-pasta==0.2.0
|
131 |
+
google-resumable-media==0.4.1
|
132 |
+
googleapis-common-protos==1.56.4
|
133 |
+
googledrivedownloader==0.4
|
134 |
+
gradio==3.4.1
|
135 |
+
graphviz==0.10.1
|
136 |
+
greenlet==1.1.3
|
137 |
+
grpcio==1.49.1
|
138 |
+
gspread==3.4.2
|
139 |
+
gspread-dataframe==3.0.8
|
140 |
+
gym==0.25.2
|
141 |
+
gym-notices==0.0.8
|
142 |
+
h11==0.12.0
|
143 |
+
h5py==3.1.0
|
144 |
+
HeapDict==1.0.1
|
145 |
+
hijri-converter==2.2.4
|
146 |
+
holidays==0.16
|
147 |
+
holoviews==1.14.9
|
148 |
+
html5lib==1.0.1
|
149 |
+
httpcore==0.15.0
|
150 |
+
httpimport==0.5.18
|
151 |
+
httplib2==0.17.4
|
152 |
+
httplib2shim==0.0.3
|
153 |
+
httpstan==4.6.1
|
154 |
+
httpx==0.23.0
|
155 |
+
huggingface-hub==0.10.0
|
156 |
+
humanize==0.5.1
|
157 |
+
hyperopt==0.1.2
|
158 |
+
idna==2.10
|
159 |
+
imageio==2.9.0
|
160 |
+
imagesize==1.4.1
|
161 |
+
imbalanced-learn==0.8.1
|
162 |
+
imblearn==0.0
|
163 |
+
imgaug==0.4.0
|
164 |
+
importlib-metadata==5.0.0
|
165 |
+
importlib-resources==5.9.0
|
166 |
+
imutils==0.5.4
|
167 |
+
inflect==2.1.0
|
168 |
+
intel-openmp==2022.2.0
|
169 |
+
intervaltree==2.1.0
|
170 |
+
ipykernel==5.3.4
|
171 |
+
ipython==7.9.0
|
172 |
+
ipython-genutils==0.2.0
|
173 |
+
ipython-sql==0.3.9
|
174 |
+
ipywidgets==7.7.1
|
175 |
+
itsdangerous==1.1.0
|
176 |
+
jax==0.3.21
|
177 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.3.20+cuda11.cudnn805-cp37-cp37m-manylinux2014_x86_64.whl
|
178 |
+
jieba==0.42.1
|
179 |
+
Jinja2==2.11.3
|
180 |
+
joblib==1.2.0
|
181 |
+
jpeg4py==0.1.4
|
182 |
+
jsonschema==4.3.3
|
183 |
+
jupyter-client==6.1.12
|
184 |
+
jupyter-console==6.1.0
|
185 |
+
jupyter-core==4.11.1
|
186 |
+
jupyterlab-widgets==3.0.3
|
187 |
+
kaggle==1.5.12
|
188 |
+
kapre==0.3.7
|
189 |
+
keras==2.8.0
|
190 |
+
Keras-Preprocessing==1.1.2
|
191 |
+
keras-vis==0.4.1
|
192 |
+
kiwisolver==1.4.4
|
193 |
+
korean-lunar-calendar==0.3.1
|
194 |
+
langcodes==3.3.0
|
195 |
+
libclang==14.0.6
|
196 |
+
librosa==0.8.1
|
197 |
+
lightgbm==2.2.3
|
198 |
+
linkify-it-py==1.0.3
|
199 |
+
llvmlite==0.39.1
|
200 |
+
lmdb==0.99
|
201 |
+
locket==1.0.0
|
202 |
+
logical-unification==0.4.5
|
203 |
+
LunarCalendar==0.0.9
|
204 |
+
lxml==4.9.1
|
205 |
+
Markdown==3.4.1
|
206 |
+
markdown-it-py==2.1.0
|
207 |
+
MarkupSafe==2.0.1
|
208 |
+
marshmallow==3.18.0
|
209 |
+
matplotlib==3.2.2
|
210 |
+
matplotlib-venn==0.11.7
|
211 |
+
mdit-py-plugins==0.3.1
|
212 |
+
mdurl==0.1.2
|
213 |
+
miniKanren==1.0.3
|
214 |
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missingno==0.5.1
|
215 |
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mistune==0.8.4
|
216 |
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mizani==0.7.3
|
217 |
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mkl==2019.0
|
218 |
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mlxtend==0.14.0
|
219 |
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more-itertools==8.14.0
|
220 |
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moviepy==0.2.3.5
|
221 |
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mpmath==1.2.1
|
222 |
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msgpack==1.0.4
|
223 |
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multidict==6.0.2
|
224 |
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multipledispatch==0.6.0
|
225 |
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multiprocess==0.70.13
|
226 |
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multitasking==0.0.11
|
227 |
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murmurhash==1.0.8
|
228 |
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music21==5.5.0
|
229 |
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natsort==5.5.0
|
230 |
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nbconvert==5.6.1
|
231 |
+
nbformat==5.6.1
|
232 |
+
netCDF4==1.6.1
|
233 |
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networkx==2.6.3
|
234 |
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nibabel==3.0.2
|
235 |
+
nltk==3.7
|
236 |
+
notebook==5.3.1
|
237 |
+
numba==0.56.2
|
238 |
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numexpr==2.8.3
|
239 |
+
numpy==1.21.6
|
240 |
+
oauth2client==4.1.3
|
241 |
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oauthlib==3.2.1
|
242 |
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okgrade==0.4.3
|
243 |
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opencv-contrib-python==4.6.0.66
|
244 |
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opencv-python==4.6.0.66
|
245 |
+
opencv-python-headless==4.6.0.66
|
246 |
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openpyxl==3.0.10
|
247 |
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opt-einsum==3.3.0
|
248 |
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orjson==3.8.0
|
249 |
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osqp==0.6.2.post0
|
250 |
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packaging==21.3
|
251 |
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palettable==3.3.0
|
252 |
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pandas==1.3.5
|
253 |
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pandas-datareader==0.9.0
|
254 |
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pandas-gbq==0.13.3
|
255 |
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pandas-profiling==1.4.1
|
256 |
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pandocfilters==1.5.0
|
257 |
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panel==0.12.1
|
258 |
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param==1.12.2
|
259 |
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paramiko==2.11.0
|
260 |
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parso==0.8.3
|
261 |
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partd==1.3.0
|
262 |
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pastel==0.2.1
|
263 |
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pathlib==1.0.1
|
264 |
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pathy==0.6.2
|
265 |
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patsy==0.5.2
|
266 |
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pep517==0.13.0
|
267 |
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pexpect==4.8.0
|
268 |
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pickleshare==0.7.5
|
269 |
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Pillow==7.1.2
|
270 |
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pip-tools==6.2.0
|
271 |
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plotly==5.5.0
|
272 |
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plotnine==0.8.0
|
273 |
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pluggy==0.7.1
|
274 |
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pooch==1.6.0
|
275 |
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portpicker==1.3.9
|
276 |
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prefetch-generator==1.0.1
|
277 |
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preshed==3.0.7
|
278 |
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prettytable==3.4.1
|
279 |
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progressbar2==3.38.0
|
280 |
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promise==2.3
|
281 |
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prompt-toolkit==2.0.10
|
282 |
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prophet==1.1.1
|
283 |
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protobuf==3.17.3
|
284 |
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psutil==5.4.8
|
285 |
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psycopg2==2.9.3
|
286 |
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ptyprocess==0.7.0
|
287 |
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py==1.11.0
|
288 |
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pyarrow==6.0.1
|
289 |
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pyasn1==0.4.8
|
290 |
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pyasn1-modules==0.2.8
|
291 |
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pycocotools==2.0.5
|
292 |
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pycparser==2.21
|
293 |
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pycryptodome==3.15.0
|
294 |
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pyct==0.4.8
|
295 |
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pydantic==1.9.2
|
296 |
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pydata-google-auth==1.4.0
|
297 |
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pydot==1.3.0
|
298 |
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pydot-ng==2.0.0
|
299 |
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pydotplus==2.0.2
|
300 |
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PyDrive==1.3.1
|
301 |
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pydub==0.25.1
|
302 |
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pyemd==0.5.1
|
303 |
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pyerfa==2.0.0.1
|
304 |
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|
305 |
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pygobject==3.26.1
|
306 |
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pylev==1.4.0
|
307 |
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pymc==4.1.4
|
308 |
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PyMeeus==0.5.11
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309 |
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pymongo==4.2.0
|
310 |
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pymystem3==0.2.0
|
311 |
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PyNaCl==1.5.0
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312 |
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PyOpenGL==3.1.6
|
313 |
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pyparsing==3.0.9
|
314 |
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pyrsistent==0.18.1
|
315 |
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pysimdjson==3.2.0
|
316 |
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pysndfile==1.3.8
|
317 |
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PySocks==1.7.1
|
318 |
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pystan==3.3.0
|
319 |
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pytest==3.6.4
|
320 |
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python-apt==0.0.0
|
321 |
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python-chess==0.23.11
|
322 |
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python-dateutil==2.8.2
|
323 |
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python-louvain==0.16
|
324 |
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python-multipart==0.0.5
|
325 |
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python-slugify==6.1.2
|
326 |
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python-utils==3.3.3
|
327 |
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pytz==2022.4
|
328 |
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pyviz-comms==2.2.1
|
329 |
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PyWavelets==1.3.0
|
330 |
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PyYAML==6.0
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331 |
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332 |
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|
333 |
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qudida==0.0.4
|
334 |
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regex==2022.6.2
|
335 |
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requests==2.23.0
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336 |
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requests-oauthlib==1.3.1
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337 |
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resampy==0.4.2
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338 |
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responses==0.18.0
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339 |
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rfc3986==1.5.0
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340 |
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rpy2==3.4.5
|
341 |
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rsa==4.9
|
342 |
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scikit-image==0.18.3
|
343 |
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scikit-learn==1.0.2
|
344 |
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scipy==1.7.3
|
345 |
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screen-resolution-extra==0.0.0
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346 |
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scs==3.2.0
|
347 |
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seaborn==0.11.2
|
348 |
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Send2Trash==1.8.0
|
349 |
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setuptools-git==1.2
|
350 |
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Shapely==1.8.4
|
351 |
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six==1.15.0
|
352 |
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sklearn-pandas==1.8.0
|
353 |
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smart-open==5.2.1
|
354 |
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sniffio==1.3.0
|
355 |
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snowballstemmer==2.2.0
|
356 |
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sortedcontainers==2.4.0
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357 |
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soundfile==0.11.0
|
358 |
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spacy==3.4.1
|
359 |
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361 |
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|
362 |
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|
363 |
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sphinxcontrib-websupport==1.2.4
|
364 |
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SQLAlchemy==1.4.41
|
365 |
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sqlparse==0.4.3
|
366 |
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srsly==2.4.4
|
367 |
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starlette==0.20.4
|
368 |
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statsmodels==0.12.2
|
369 |
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sympy==1.7.1
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370 |
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tables==3.7.0
|
371 |
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tabulate==0.8.10
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372 |
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tblib==1.7.0
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373 |
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tenacity==8.1.0
|
374 |
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tensorboard==2.8.0
|
375 |
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tensorboard-data-server==0.6.1
|
376 |
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tensorboard-plugin-wit==1.8.1
|
377 |
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tensorflow==2.8.2+zzzcolab20220929150707
|
378 |
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tensorflow-datasets==4.6.0
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379 |
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tensorflow-estimator==2.8.0
|
380 |
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tensorflow-gcs-config==2.8.0
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381 |
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tensorflow-hub==0.12.0
|
382 |
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tensorflow-io-gcs-filesystem==0.27.0
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383 |
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tensorflow-metadata==1.10.0
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384 |
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tensorflow-probability==0.16.0
|
385 |
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termcolor==2.0.1
|
386 |
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terminado==0.13.3
|
387 |
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testpath==0.6.0
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388 |
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text-unidecode==1.3
|
389 |
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textblob==0.15.3
|
390 |
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thinc==8.1.2
|
391 |
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threadpoolctl==3.1.0
|
392 |
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tifffile==2021.11.2
|
393 |
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tokenizers==0.12.1
|
394 |
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toml==0.10.2
|
395 |
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tomli==2.0.1
|
396 |
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toolz==0.12.0
|
397 |
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torch @ https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp37-cp37m-linux_x86_64.whl
|
398 |
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torchaudio @ https://download.pytorch.org/whl/cu113/torchaudio-0.12.1%2Bcu113-cp37-cp37m-linux_x86_64.whl
|
399 |
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torchsummary==1.5.1
|
400 |
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torchtext==0.13.1
|
401 |
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torchvision @ https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp37-cp37m-linux_x86_64.whl
|
402 |
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tornado==5.1.1
|
403 |
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tqdm==4.64.1
|
404 |
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traitlets==5.1.1
|
405 |
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transformers==4.22.2
|
406 |
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tweepy==3.10.0
|
407 |
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typeguard==2.7.1
|
408 |
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typer==0.4.2
|
409 |
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typing-extensions==4.1.1
|
410 |
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tzlocal==1.5.1
|
411 |
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uc-micro-py==1.0.1
|
412 |
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ujson==5.5.0
|
413 |
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uritemplate==3.0.1
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414 |
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urllib3==1.25.11
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415 |
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uvicorn==0.18.3
|
416 |
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vega-datasets==0.9.0
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417 |
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wasabi==0.10.1
|
418 |
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wcwidth==0.2.5
|
419 |
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webargs==8.2.0
|
420 |
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webencodings==0.5.1
|
421 |
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websockets==10.3
|
422 |
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Werkzeug==1.0.1
|
423 |
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widgetsnbextension==3.6.1
|
424 |
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wordcloud==1.8.2.2
|
425 |
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wrapt==1.14.1
|
426 |
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xarray==0.20.2
|
427 |
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xarray-einstats==0.2.2
|
428 |
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xgboost==0.90
|
429 |
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xkit==0.0.0
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430 |
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xlrd==1.1.0
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431 |
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xlwt==1.3.0
|
432 |
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xxhash==3.0.0
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433 |
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yarl==1.8.1
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434 |
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yellowbrick==1.5
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435 |
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zict==2.2.0
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436 |
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zipp==3.8.1
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saved_model_files/.DS_Store
ADDED
Binary file (6.15 kB). View file
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saved_model_files/config.json
ADDED
@@ -0,0 +1,34 @@
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|
|
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|
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|
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
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],
|
6 |
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"attention_probs_dropout_prob": 0.0,
|
7 |
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"encoder_stride": 16,
|
8 |
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"hidden_act": "gelu",
|
9 |
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"hidden_dropout_prob": 0.0,
|
10 |
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"hidden_size": 768,
|
11 |
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"id2label": {
|
12 |
+
"0": "angular_leaf_spot",
|
13 |
+
"1": "bean_rust",
|
14 |
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"2": "healthy"
|
15 |
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},
|
16 |
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"image_size": 224,
|
17 |
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"initializer_range": 0.02,
|
18 |
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"intermediate_size": 3072,
|
19 |
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"label2id": {
|
20 |
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"angular_leaf_spot": "0",
|
21 |
+
"bean_rust": "1",
|
22 |
+
"healthy": "2"
|
23 |
+
},
|
24 |
+
"layer_norm_eps": 1e-12,
|
25 |
+
"model_type": "vit",
|
26 |
+
"num_attention_heads": 12,
|
27 |
+
"num_channels": 3,
|
28 |
+
"num_hidden_layers": 12,
|
29 |
+
"patch_size": 16,
|
30 |
+
"problem_type": "single_label_classification",
|
31 |
+
"qkv_bias": true,
|
32 |
+
"torch_dtype": "float32",
|
33 |
+
"transformers_version": "4.22.2"
|
34 |
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}
|
saved_model_files/preprocessor_config.json
ADDED
@@ -0,0 +1,17 @@
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
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{
|
2 |
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"do_normalize": true,
|
3 |
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"do_resize": true,
|
4 |
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"feature_extractor_type": "ViTFeatureExtractor",
|
5 |
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"image_mean": [
|
6 |
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0.5,
|
7 |
+
0.5,
|
8 |
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0.5
|
9 |
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],
|
10 |
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"image_std": [
|
11 |
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0.5,
|
12 |
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0.5,
|
13 |
+
0.5
|
14 |
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],
|
15 |
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"resample": 2,
|
16 |
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"size": 224
|
17 |
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}
|
saved_model_files/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:1544bd049155d33a8bd6e3e6f90fe34197403c925bd38c8ace5091479952080d
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size 343270065
|
saved_model_files/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ee592c0d94564ee3bffdde318a595c528aaf89d2a6104f078687478119c9912
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size 3375
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