Instructions to use medspaner/roberta-es-clinical-trials-temporal-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medspaner/roberta-es-clinical-trials-temporal-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="medspaner/roberta-es-clinical-trials-temporal-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("medspaner/roberta-es-clinical-trials-temporal-ner") model = AutoModelForTokenClassification.from_pretrained("medspaner/roberta-es-clinical-trials-temporal-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
dd79ff5
1
Parent(s): 95bdb0c
add model
Browse files- config.json +54 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "roberta-es-clinical-trials-temporal-ner",
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "B-Age",
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"1": "I-Age",
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"2": "B-Date",
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"3": "I-Date",
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"4": "B-Duration",
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"5": "I-Duration",
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"6": "B-Frequency",
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"7": "I-Frequency",
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"8": "B-Time",
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"9": "I-Time",
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"10": "O"
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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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"B-Age": 0,
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"B-Date": 2,
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"B-Duration": 4,
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"B-Frequency": 6,
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"B-Time": 8,
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"I-Age": 1,
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"I-Date": 3,
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"I-Duration": 5,
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"I-Frequency": 7,
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"I-Time": 9,
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"O": 10
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.16.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50262
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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 sha256:85d64986f646acb06b6cee06fcb2fb0821b4cf769d2383344da47c9aa271442d
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size 496326705
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