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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91880ae292a2e2a13c741b0b9bf4630c595613ff2f0f5f6ecd1ce2d9afbb0961
- Size of remote file:
- 736 MB
- SHA256:
- 08abbc791bc5bee9b381748e08543911b730c814d052fcff19813a3bfaabe41a
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