Instructions to use projecte-aina/DEBERTA_CIEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/DEBERTA_CIEL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="projecte-aina/DEBERTA_CIEL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/DEBERTA_CIEL") model = AutoModelForTokenClassification.from_pretrained("projecte-aina/DEBERTA_CIEL") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c99dbe32eab0803311f4c4a89ba95a9e21334f78295fe8fdf7cf85d055843640
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size 735683916
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