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
Download tokenizer.json from IIC/roberta-large-bne-nubes: direct link, hf CLI and curl.
- Browser
- Download file 2.23 MB
-
https://huggingface.co/IIC/roberta-large-bne-nubes/resolve/main/tokenizer.json
- Command line
-
hf download hf://IIC/roberta-large-bne-nubes/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/IIC/roberta-large-bne-nubes/resolve/main/tokenizer.json
2.23 MB
File too large to display, you can check the raw version instead.