Token Classification
Transformers
PyTorch
Safetensors
Spanish
roberta
biomedical
clinical
EHR
spanish
symptoms
Eval Results (legacy)
Instructions to use BSC-NLP4BIA/bsc-bio-ehr-es-symptemist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-NLP4BIA/bsc-bio-ehr-es-symptemist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BSC-NLP4BIA/bsc-bio-ehr-es-symptemist")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BSC-NLP4BIA/bsc-bio-ehr-es-symptemist") model = AutoModelForTokenClassification.from_pretrained("BSC-NLP4BIA/bsc-bio-ehr-es-symptemist") - Notebooks
- Google Colab
- Kaggle
Commit ·
66617cf
1
Parent(s): 2ed3cc1
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (2037c56addd8550264b2b4dc6399e94fcadc927f)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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