Upload ConvNextForImageClassification

README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

@@ -0,0 +1,141 @@
+{
+  "_name_or_path": "facebook/convnext-base-224-22k-1k",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    128,
+    256,
+    512,
+    1024
+  ],
+  "id2label": {
+    "0": "banded",
+    "1": "blotchy",
+    "2": "braided",
+    "3": "bubbly",
+    "4": "bumpy",
+    "5": "chequered",
+    "6": "cobwebbed",
+    "7": "cracked",
+    "8": "crosshatched",
+    "9": "crystalline",
+    "10": "dotted",
+    "11": "fibrous",
+    "12": "flecked",
+    "13": "freckled",
+    "14": "frilly",
+    "15": "gauzy",
+    "16": "grid",
+    "17": "grooved",
+    "18": "honeycombed",
+    "19": "interlaced",
+    "20": "knitted",
+    "21": "lacelike",
+    "22": "lined",
+    "23": "marbled",
+    "24": "matted",
+    "25": "meshed",
+    "26": "paisley",
+    "27": "perforated",
+    "28": "pitted",
+    "29": "pleated",
+    "30": "polka-dotted",
+    "31": "porous",
+    "32": "potholed",
+    "33": "scaly",
+    "34": "smeared",
+    "35": "spiralled",
+    "36": "sprinkled",
+    "37": "stained",
+    "38": "stratified",
+    "39": "striped",
+    "40": "studded",
+    "41": "swirly",
+    "42": "veined",
+    "43": "waffled",
+    "44": "woven",
+    "45": "wrinkled",
+    "46": "zigzagged"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "banded": 0,
+    "blotchy": 1,
+    "braided": 2,
+    "bubbly": 3,
+    "bumpy": 4,
+    "chequered": 5,
+    "cobwebbed": 6,
+    "cracked": 7,
+    "crosshatched": 8,
+    "crystalline": 9,
+    "dotted": 10,
+    "fibrous": 11,
+    "flecked": 12,
+    "freckled": 13,
+    "frilly": 14,
+    "gauzy": 15,
+    "grid": 16,
+    "grooved": 17,
+    "honeycombed": 18,
+    "interlaced": 19,
+    "knitted": 20,
+    "lacelike": 21,
+    "lined": 22,
+    "marbled": 23,
+    "matted": 24,
+    "meshed": 25,
+    "paisley": 26,
+    "perforated": 27,
+    "pitted": 28,
+    "pleated": 29,
+    "polka-dotted": 30,
+    "porous": 31,
+    "potholed": 32,
+    "scaly": 33,
+    "smeared": 34,
+    "spiralled": 35,
+    "sprinkled": 36,
+    "stained": 37,
+    "stratified": 38,
+    "striped": 39,
+    "studded": 40,
+    "swirly": 41,
+    "veined": 42,
+    "waffled": 43,
+    "woven": 44,
+    "wrinkled": 45,
+    "zigzagged": 46
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9248987f2a25f1be3a181e3cecc10bb0ffbf3f7a5397532e75696e0d2c829a20
+size 350499748