Instructions to use cuadron11/bsc-bio-ehr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/bsc-bio-ehr-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/bsc-bio-ehr-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/bsc-bio-ehr-es") model = AutoModelForTokenClassification.from_pretrained("cuadron11/bsc-bio-ehr-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac2b2fbb2d280a4b81b2b7429affad9d9d5ba5dee11c2aef60c520bfc9447c2a
- Size of remote file:
- 3.58 kB
- SHA256:
- 59608248a44e1d16b035b6a3870c2cbaa7c5a2ecf3fb67b46e175322fb06ade0
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