Token Classification
Transformers
PyTorch
Safetensors
Spanish
deberta-v2
text-classification
biomedical
clinical
spanish
mdeberta-v3-base
Eval Results (legacy)
Instructions to use IIC/mdeberta-v3-base-nubes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIC/mdeberta-v3-base-nubes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/mdeberta-v3-base-nubes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/mdeberta-v3-base-nubes") model = AutoModelForSequenceClassification.from_pretrained("IIC/mdeberta-v3-base-nubes") - Notebooks
- Google Colab
- Kaggle
Commit ·
4e26a11
1
Parent(s): 49fb285
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (a79f7d6e2634dfdb9dc1805894b934e7aee7a942)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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