Token Classification
Transformers
PyTorch
Safetensors
Spanish
roberta
text-classification
biomedical
clinical
spanish
roberta-large-bne
Eval Results (legacy)
Instructions to use IIC/roberta-large-bne-nubes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/roberta-large-bne-nubes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/roberta-large-bne-nubes")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/roberta-large-bne-nubes") model = AutoModelForSequenceClassification.from_pretrained("IIC/roberta-large-bne-nubes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (c3d89110c7e523fa64907a2b9948c69418217fe2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>9998c31
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Add README.md
d30b394 -
Upload the tokenizer
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Upload the model
818866f -
initial commit
c65c32e