Token Classification
Transformers
PyTorch
Safetensors
Spanish
bert
text-classification
biomedical
clinical
spanish
BETO_Galen
Eval Results (legacy)
Instructions to use IIC/BETO_Galen-ctebmsp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/BETO_Galen-ctebmsp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/BETO_Galen-ctebmsp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/BETO_Galen-ctebmsp") model = AutoModelForSequenceClassification.from_pretrained("IIC/BETO_Galen-ctebmsp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc7f21a2bf94a5cbb5cd30ff4445bf6b0febc2a5234c4317be8eb8c5b0cda34e
- Size of remote file:
- 440 MB
- SHA256:
- 157194e1c0845c6d3289774a0f5a3b9dcd657a63e8a0ac1988d8881459194fe2
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