commit files to HF hub
Browse files- README.md +25 -0
- config.json +141 -0
- inference.py +10 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
tags:
|
5 |
+
- openvino
|
6 |
+
---
|
7 |
+
|
8 |
+
# echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid
|
9 |
+
|
10 |
+
This is the [echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid](https://huggingface.co/echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
|
11 |
+
|
12 |
+
An example of how to do inference on this model:
|
13 |
+
```python
|
14 |
+
from optimum.intel.openvino import OVModelForSequenceClassification
|
15 |
+
from transformers import AutoTokenizer, pipeline
|
16 |
+
|
17 |
+
# model_id should be set to either a local directory or a model available on the HuggingFace hub.
|
18 |
+
model_id = "helenai/echarlaix-bert-base-uncased-sst2-acc91.1-d37-hybrid-ov"
|
19 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
20 |
+
model = OVModelForSequenceClassification.from_pretrained(model_id)
|
21 |
+
pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
|
22 |
+
result = pipe("I like you. I love you")
|
23 |
+
print(result)
|
24 |
+
```
|
25 |
+
|
config.json
ADDED
@@ -0,0 +1,141 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"finetuning_task": "sst2",
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"heads_count": 56,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.1,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 3072,
|
16 |
+
"layer_norm_eps": 1e-12,
|
17 |
+
"max_position_embeddings": 512,
|
18 |
+
"model_type": "bert",
|
19 |
+
"num_attention_heads": 12,
|
20 |
+
"num_hidden_layers": 12,
|
21 |
+
"pad_token_id": 0,
|
22 |
+
"position_embedding_type": "absolute",
|
23 |
+
"pruned_heads": {
|
24 |
+
"0": [
|
25 |
+
0,
|
26 |
+
4,
|
27 |
+
6,
|
28 |
+
7,
|
29 |
+
8,
|
30 |
+
9,
|
31 |
+
11
|
32 |
+
],
|
33 |
+
"1": [
|
34 |
+
0,
|
35 |
+
2,
|
36 |
+
3,
|
37 |
+
5,
|
38 |
+
6,
|
39 |
+
7,
|
40 |
+
8,
|
41 |
+
9
|
42 |
+
],
|
43 |
+
"2": [
|
44 |
+
2,
|
45 |
+
3,
|
46 |
+
4,
|
47 |
+
5,
|
48 |
+
6,
|
49 |
+
7,
|
50 |
+
8,
|
51 |
+
10,
|
52 |
+
11
|
53 |
+
],
|
54 |
+
"3": [
|
55 |
+
0,
|
56 |
+
1,
|
57 |
+
2,
|
58 |
+
3,
|
59 |
+
4,
|
60 |
+
6,
|
61 |
+
7,
|
62 |
+
8,
|
63 |
+
11
|
64 |
+
],
|
65 |
+
"4": [
|
66 |
+
1,
|
67 |
+
2,
|
68 |
+
3,
|
69 |
+
4,
|
70 |
+
8
|
71 |
+
],
|
72 |
+
"5": [
|
73 |
+
1,
|
74 |
+
2,
|
75 |
+
5,
|
76 |
+
11
|
77 |
+
],
|
78 |
+
"6": [
|
79 |
+
1,
|
80 |
+
3,
|
81 |
+
7,
|
82 |
+
9,
|
83 |
+
10,
|
84 |
+
11
|
85 |
+
],
|
86 |
+
"7": [
|
87 |
+
2,
|
88 |
+
4,
|
89 |
+
6,
|
90 |
+
7,
|
91 |
+
11
|
92 |
+
],
|
93 |
+
"8": [
|
94 |
+
0,
|
95 |
+
2,
|
96 |
+
3,
|
97 |
+
4,
|
98 |
+
5,
|
99 |
+
6
|
100 |
+
],
|
101 |
+
"9": [
|
102 |
+
0,
|
103 |
+
1,
|
104 |
+
3,
|
105 |
+
4,
|
106 |
+
6,
|
107 |
+
8,
|
108 |
+
9,
|
109 |
+
11
|
110 |
+
],
|
111 |
+
"10": [
|
112 |
+
0,
|
113 |
+
1,
|
114 |
+
2,
|
115 |
+
3,
|
116 |
+
5,
|
117 |
+
6,
|
118 |
+
7,
|
119 |
+
8,
|
120 |
+
9,
|
121 |
+
10
|
122 |
+
],
|
123 |
+
"11": [
|
124 |
+
1,
|
125 |
+
2,
|
126 |
+
3,
|
127 |
+
4,
|
128 |
+
5,
|
129 |
+
6,
|
130 |
+
7,
|
131 |
+
8,
|
132 |
+
9,
|
133 |
+
10,
|
134 |
+
11
|
135 |
+
]
|
136 |
+
},
|
137 |
+
"transformers_version": "4.27.4",
|
138 |
+
"type_vocab_size": 2,
|
139 |
+
"use_cache": true,
|
140 |
+
"vocab_size": 30522
|
141 |
+
}
|
inference.py
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from optimum.intel.openvino import OVModelForSequenceClassification
|
2 |
+
from transformers import AutoTokenizer, pipeline
|
3 |
+
|
4 |
+
# model_id should be set to either a local directory or a model available on the HuggingFace hub.
|
5 |
+
model_id = "helenai/echarlaix-bert-base-uncased-sst2-acc91.1-d37-hybrid-ov"
|
6 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
7 |
+
model = OVModelForSequenceClassification.from_pretrained(model_id)
|
8 |
+
pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
|
9 |
+
result = pipe("I like you. I love you")
|
10 |
+
print(result)
|
openvino_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3037826b4d308719123e419f27d0c7c025d31e0433c3a273be14bebd3da02fc
|
3 |
+
size 368272116
|
openvino_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
|
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"do_basic_tokenize": true,
|
4 |
+
"do_lower_case": true,
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"model_max_length": 512,
|
7 |
+
"never_split": null,
|
8 |
+
"pad_token": "[PAD]",
|
9 |
+
"sep_token": "[SEP]",
|
10 |
+
"special_tokens_map_file": null,
|
11 |
+
"strip_accents": null,
|
12 |
+
"tokenize_chinese_chars": true,
|
13 |
+
"tokenizer_class": "BertTokenizer",
|
14 |
+
"unk_token": "[UNK]"
|
15 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|