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
- Xet hash:
- e2cf5dfc144173a8a317a8e91903c5f73e2d30a1465a53de18a17d1e09ac7384
- Size of remote file:
- 5.27 kB
- SHA256:
- 256ef8f99242397c025070be7b7e27b5ed4e0e1655ba5e3220858814d77d5a92
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