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-distemist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/roberta-large-bne-distemist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/roberta-large-bne-distemist")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/roberta-large-bne-distemist") model = AutoModelForSequenceClassification.from_pretrained("IIC/roberta-large-bne-distemist", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dd1aac958a2610d55b2b9a6ecfc0fa857b34cbff091391a54a2cc4694f318ca
- Size of remote file:
- 1.42 GB
- SHA256:
- 65b0df4afbbc5e8feb1a7c0334bf20faecf285f1c260a334b4ec43edbcef5161
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