Instructions to use IEETA/RobertaMultiHeadCRF-C32-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IEETA/RobertaMultiHeadCRF-C32-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IEETA/RobertaMultiHeadCRF-C32-3", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IEETA/RobertaMultiHeadCRF-C32-3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from IEETA/RobertaMultiHeadCRF-C32-3: direct link, hf CLI and curl.
- Browser
- Download file 1.39 kB
-
https://huggingface.co/IEETA/RobertaMultiHeadCRF-C32-3/resolve/main/config.json
- Command line
-
hf download hf://IEETA/RobertaMultiHeadCRF-C32-3/config.json
-
curl -L -o config.json https://huggingface.co/IEETA/RobertaMultiHeadCRF-C32-3/resolve/main/config.json
1.39 kB
| { | |
| "_name_or_path": "trained-models/lcampillos-None-C32-H3-E60-Arandom-%0.25-P0.5-42/checkpoint-1080", | |
| "architectures": [ | |
| "RobertaMultiHeadCRFModel" | |
| ], | |
| "args_random_seed": 42, | |
| "attention_probs_dropout_prob": 0.1, | |
| "aug_prob": [ | |
| 0.5 | |
| ], | |
| "augmentation": "random", | |
| "auto_map": { | |
| "AutoConfig": "configuration_multiheadcrf.MultiHeadCRFConfig", | |
| "AutoModel": "modeling_multiheadcrf.RobertaMultiHeadCRFModel" | |
| }, | |
| "bos_token_id": 0, | |
| "classes": [ | |
| "SINTOMA", | |
| "PROCEDIMIENTO", | |
| "ENFERMEDAD", | |
| "PROTEINAS", | |
| "CHEMICAL" | |
| ], | |
| "classifier_dropout": null, | |
| "context_size": 32, | |
| "crf_reduction": "mean", | |
| "eos_token_id": 2, | |
| "freeze": false, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B", | |
| "2": "I" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "B": 1, | |
| "I": 2, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "crf-tagger", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "number_of_layer_per_head": 3, | |
| "pad_token_id": 1, | |
| "percentage_tags": 0.25, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.2", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "version": "0.1.3", | |
| "vocab_size": 50262 | |
| } | |