Token Classification
Transformers
Safetensors
Portuguese
Spanish
xlm-roberta
ner
portuguese
spanish
medical
clinical
healthcare
brazil
cross-lingual
openmed-br
Eval Results (legacy)
Instructions to use BrazilAI/openmed-br-large-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrazilAI/openmed-br-large-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BrazilAI/openmed-br-large-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BrazilAI/openmed-br-large-pt") model = AutoModelForTokenClassification.from_pretrained("BrazilAI/openmed-br-large-pt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "XLMRobertaForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-DOENCA", | |
| "2": "I-DOENCA", | |
| "3": "B-SINAL_SINTOMA", | |
| "4": "I-SINAL_SINTOMA", | |
| "5": "B-MEDICAMENTO", | |
| "6": "I-MEDICAMENTO", | |
| "7": "B-PROCEDIMENTO", | |
| "8": "I-PROCEDIMENTO", | |
| "9": "B-ANATOMIA", | |
| "10": "I-ANATOMIA" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "B-ANATOMIA": 9, | |
| "B-DOENCA": 1, | |
| "B-MEDICAMENTO": 5, | |
| "B-PROCEDIMENTO": 7, | |
| "B-SINAL_SINTOMA": 3, | |
| "I-ANATOMIA": 10, | |
| "I-DOENCA": 2, | |
| "I-MEDICAMENTO": 6, | |
| "I-PROCEDIMENTO": 8, | |
| "I-SINAL_SINTOMA": 4, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.13.1", | |
| "type_vocab_size": 1, | |
| "use_cache": false, | |
| "vocab_size": 250002 | |
| } | |