Token Classification
Transformers
PyTorch
Spanish
roberta
biomedical
clinical
eHR
spanish
Eval Results (legacy)
Instructions to use PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer") model = AutoModelForTokenClassification.from_pretrained("PlanTL-GOB-ES/bsc-bio-ehr-es-pharmaconer") - Notebooks
- Google Colab
- Kaggle
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