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-ctebmsp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/roberta-large-bne-ctebmsp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/roberta-large-bne-ctebmsp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/roberta-large-bne-ctebmsp") model = AutoModelForSequenceClassification.from_pretrained("IIC/roberta-large-bne-ctebmsp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from IIC/roberta-large-bne-ctebmsp: direct link, hf CLI and curl.
- Browser
- Download file 2.23 MB
-
https://huggingface.co/IIC/roberta-large-bne-ctebmsp/resolve/main/tokenizer.json
- Command line
-
hf download hf://IIC/roberta-large-bne-ctebmsp/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/IIC/roberta-large-bne-ctebmsp/resolve/main/tokenizer.json
2.23 MB
File too large to display, you can check the raw version instead.