Instructions to use cuadron11/5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/5")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/5") model = AutoModelForTokenClassification.from_pretrained("cuadron11/5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91f69216157ac89c3ded074d225428b30b9ee3cf5d4bc48758c59d6214e1d55c
- Size of remote file:
- 3.58 kB
- SHA256:
- c278086906201db8a8d052d1e35df3a1a3fe6aa78d3c94063e248258c1327c56
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