Instructions to use asfafaaf3434/MyAwesomeModel-TestRepository with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asfafaaf3434/MyAwesomeModel-TestRepository with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asfafaaf3434/MyAwesomeModel-TestRepository")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asfafaaf3434/MyAwesomeModel-TestRepository") model = AutoModel.from_pretrained("asfafaaf3434/MyAwesomeModel-TestRepository", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +29 -29
- pytorch_model.bin +3 -0
- tokenizer.json +155 -0
- tokenizer_config.json +13 -0
config.json
CHANGED
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@@ -1,36 +1,36 @@
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{
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"
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"architectures": [
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"
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],
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"
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"bos_token_id": null,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"use_cache": true,
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"vocab_size": 30522
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}
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{
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"model_type": "bert",
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"architectures": [
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"BertModel"
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],
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"vocab_size": 30522,
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"hidden_size": 768,
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"num_hidden_layers": 12,
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"num_attention_heads": 12,
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"max_position_embeddings": 512,
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"type_vocab_size": 2,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7181db8a9e127c9b4971ea6c5fbe40b087c0d64f5f18d92272c8de28adfe7c7
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size 436396591
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tokenizer.json
ADDED
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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{
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"id": 0,
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"content": "[PAD]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "[UNK]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 2,
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"content": "<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 3,
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"content": "[SEP]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 4,
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"content": "[MASK]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"type": "BertNormalizer",
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"clean_text": true,
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"handle_chinese_chars": true,
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"strip_accents": null,
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"lowercase": true
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},
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"pre_tokenizer": {
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"type": "BertPreTokenizer"
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},
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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+
"SpecialToken": {
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"id": "<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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},
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{
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"SpecialToken": {
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"id": "[SEP]",
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"type_id": 0
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}
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}
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],
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"pair": [
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{
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+
"SpecialToken": {
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+
"id": "<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>",
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| 88 |
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"type_id": 0
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+
}
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},
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+
{
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"Sequence": {
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| 93 |
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"id": "A",
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"type_id": 0
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}
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},
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{
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"SpecialToken": {
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"id": "[SEP]",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "B",
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"type_id": 1
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}
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},
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{
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"SpecialToken": {
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| 111 |
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"id": "[SEP]",
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| 112 |
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"type_id": 1
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}
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}
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],
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+
"special_tokens": {
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+
"<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>": {
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+
"id": "<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>",
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"ids": [
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+
2
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+
],
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+
"tokens": [
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"<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>"
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]
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+
},
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| 126 |
+
"[SEP]": {
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"id": "[SEP]",
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"ids": [
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3
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],
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"tokens": [
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"[SEP]"
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]
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}
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}
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},
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"decoder": {
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"type": "WordPiece",
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"prefix": "##",
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"cleanup": true
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},
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"model": {
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"type": "WordPiece",
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"unk_token": "[UNK]",
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"continuing_subword_prefix": "##",
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"max_input_chars_per_word": 100,
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"vocab": {
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"[PAD]": 0,
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| 149 |
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"[UNK]": 1,
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| 150 |
+
"<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>": 2,
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| 151 |
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"[SEP]": 3,
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"[MASK]": 4
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}
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}
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}
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tokenizer_config.json
ADDED
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{
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"backend": "tokenizers",
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"cls_token": "<[BOS_never_used_51bce0c785ca2f68081bfa7d91973934]>",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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| 8 |
+
"sep_token": "[SEP]",
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| 9 |
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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