Token Classification
Transformers
Safetensors
Spanish
ner
named-entity-recognition
biomedical
adverse-drug-reactions
spanish
roberta
Instructions to use guerrerotook/CIMA-RoBERTa-NER-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guerrerotook/CIMA-RoBERTa-NER-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="guerrerotook/CIMA-RoBERTa-NER-baseline")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("guerrerotook/CIMA-RoBERTa-NER-baseline", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "label_to_id": { | |
| "O": 0, | |
| "B-ACTIVE": 1, | |
| "I-ACTIVE": 2, | |
| "B-REACT": 3, | |
| "I-REACT": 4, | |
| "B-FREQ": 5, | |
| "I-FREQ": 6, | |
| "B-SYS": 7, | |
| "I-SYS": 8 | |
| }, | |
| "id_to_label": { | |
| "0": "O", | |
| "1": "B-ACTIVE", | |
| "2": "I-ACTIVE", | |
| "3": "B-REACT", | |
| "4": "I-REACT", | |
| "5": "B-FREQ", | |
| "6": "I-FREQ", | |
| "7": "B-SYS", | |
| "8": "I-SYS" | |
| } | |
| } |