Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +56 -0
- config.json +89 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +67 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- autotrain
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- text-classification
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language:
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- en
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- gjbooth2/autotrain-data-glenn_epa_second_pooled_25
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co2_eq_emissions:
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emissions: 0.02021601897058404
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---
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# Model Trained Using AutoTrain
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- Problem type: Multi-class Classification
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- Model ID: 3519195196
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- CO2 Emissions (in grams): 0.0202
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## Validation Metrics
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- Loss: 1.733
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- Accuracy: 0.534
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- Macro F1: 0.343
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- Micro F1: 0.534
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- Weighted F1: 0.473
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- Macro Precision: 0.371
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- Micro Precision: 0.534
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- Weighted Precision: 0.477
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- Macro Recall: 0.375
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- Micro Recall: 0.534
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- Weighted Recall: 0.534
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## Usage
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You can use cURL to access this model:
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```
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$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/gjbooth2/autotrain-glenn_epa_second_pooled_25-3519195196
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```
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Or Python API:
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```
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("gjbooth2/autotrain-glenn_epa_second_pooled_25-3519195196", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("gjbooth2/autotrain-glenn_epa_second_pooled_25-3519195196", use_auth_token=True)
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inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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outputs = model(**inputs)
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```
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config.json
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{
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"_name_or_path": "AutoTrain",
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"_num_labels": 25,
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"architectures": [
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"DebertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "EPA.1",
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"1": "EPA.10",
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"2": "EPA.11",
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"3": "EPA.12",
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"4": "EPA.13",
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"5": "EPA.14",
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"6": "EPA.15",
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"7": "EPA.16",
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"8": "EPA.17",
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"9": "EPA.18",
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"10": "EPA.19",
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"11": "EPA.2",
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"12": "EPA.20",
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"13": "EPA.21",
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"14": "EPA.22",
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"15": "EPA.23",
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"16": "EPA.24",
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"17": "EPA.25",
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"18": "EPA.3",
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"19": "EPA.4",
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"20": "EPA.5",
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"21": "EPA.6",
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"22": "EPA.7",
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"23": "EPA.8",
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"24": "EPA.9"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"EPA.1": 0,
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"EPA.10": 1,
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"EPA.11": 2,
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"EPA.12": 3,
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"EPA.13": 4,
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"EPA.14": 5,
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"EPA.15": 6,
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"EPA.16": 7,
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"EPA.17": 8,
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"EPA.18": 9,
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"EPA.19": 10,
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"EPA.2": 11,
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"EPA.20": 12,
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"EPA.21": 13,
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"EPA.22": 14,
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"EPA.23": 15,
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"EPA.24": 16,
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"EPA.25": 17,
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"EPA.3": 18,
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"EPA.4": 19,
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"EPA.5": 20,
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"EPA.6": 21,
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"EPA.7": 22,
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"EPA.8": 23,
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"EPA.9": 24
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},
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"layer_norm_eps": 1e-07,
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"max_length": 384,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"padding": "max_length",
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"c2p",
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"p2c"
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],
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"position_biased_input": false,
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"relative_attention": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"type_vocab_size": 0,
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"vocab_size": 50265
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b773336a1f7630ed8758ee3a9af4203f8133774d068362c2071fdd43c4a19c0
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size 556919345
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special_tokens_map.json
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{
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},
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"cls_token": {
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},
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"eos_token": {
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},
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"mask_token": {
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": true,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:59b1df23073dc6fd08170b31370ab2c9da91a396ad232a0647d55db5a20d2579
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size 2109848
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_prefix_space": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "[CLS]",
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"lstrip": false,
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"normalized": true,
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"single_word": false
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},
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"cls_token": {
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"__type": "AddedToken",
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"content": "[CLS]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"do_lower_case": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "[SEP]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"errors": "replace",
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"mask_token": {
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"__type": "AddedToken",
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"content": "[MASK]",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 512,
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"name_or_path": "AutoTrain",
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"pad_token": {
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"__type": "AddedToken",
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"content": "[PAD]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"__type": "AddedToken",
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"content": "[SEP]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"special_tokens_map_file": null,
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"tokenizer_class": "DebertaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"vocab_type": "gpt2"
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}
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vocab.json
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