CoronaCentral BERT model
Browse files- .gitattributes +1 -0
- config.json +94 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tf_model.preproc +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
.gitattributes
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.hd5 filter=lfs diff=lfs merge=lfs -text
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config.json
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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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": "Clinical Reports",
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"1": "Comment/Editorial",
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"2": "Communication",
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"3": "Contact Tracing",
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"4": "Diagnostics",
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"5": "Drug Targets",
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"6": "Education",
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"7": "Effect on Medical Specialties",
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"8": "Forecasting & Modelling",
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"9": "Health Policy",
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"10": "Healthcare Workers",
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"11": "Imaging",
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"12": "Immunology",
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"13": "Inequality",
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"14": "Infection Reports",
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"15": "Long Haul",
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"16": "Medical Devices",
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"17": "Meta-analysis",
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"18": "Misinformation",
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"19": "Model Systems & Tools",
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"20": "Molecular Biology",
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"21": "News",
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"22": "Non-human",
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"23": "Non-medical",
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"24": "Pediatrics",
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"25": "Prevalence",
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"26": "Prevention",
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"27": "Psychology",
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"28": "Recommendations",
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"29": "Review",
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"30": "Risk Factors",
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"31": "Surveillance",
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"32": "Therapeutics",
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"33": "Transmission",
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"34": "Vaccines"
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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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"Clinical Reports": 0,
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"Comment/Editorial": 1,
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"Communication": 2,
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"Contact Tracing": 3,
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"Diagnostics": 4,
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"Drug Targets": 5,
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"Education": 6,
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"Effect on Medical Specialties": 7,
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"Forecasting & Modelling": 8,
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"Health Policy": 9,
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"Healthcare Workers": 10,
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"Imaging": 11,
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"Immunology": 12,
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"Inequality": 13,
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"Infection Reports": 14,
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"Long Haul": 15,
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"Medical Devices": 16,
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"Meta-analysis": 17,
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| 68 |
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"Misinformation": 18,
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"Model Systems & Tools": 19,
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"Molecular Biology": 20,
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"News": 21,
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"Non-human": 22,
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"Non-medical": 23,
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"Pediatrics": 24,
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"Prevalence": 25,
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"Prevention": 26,
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"Psychology": 27,
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"Recommendations": 28,
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"Review": 29,
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"Risk Factors": 30,
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"Surveillance": 31,
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"Therapeutics": 32,
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"Transmission": 33,
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"Vaccines": 34
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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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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"type_vocab_size": 2,
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"vocab_size": 30522
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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 sha256:991120d696cdb02924f22b11b929c37a2e1750a575fcb955c7de59db7d604593
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size 438086348
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:69264064805a6ced60232b03c8f2bafaf7f74823e78edbb70530f53d2759c8da
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size 438307700
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tf_model.preproc
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Binary file (3.39 kB). View file
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tokenizer_config.json
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{"special_tokens_map_file": null, "full_tokenizer_file": null}
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vocab.txt
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