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:
- d850b3d510258ffb52727da976413317cdbdceacdb227ba5df7252e473b7a839
- Size of remote file:
- 32.9 kB
- SHA256:
- c35dc2dda2661802d88a4fd2e556aada65c1c5c3700c3924fb8eed10e07c02f9
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