Instructions to use cuadron11/modelBsc6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBsc6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBsc6")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBsc6") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBsc6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d77a9e02e2a08427ba4c93085bc0c8e08795934c0f392843ccf25d543d2a83b
- Size of remote file:
- 496 MB
- SHA256:
- cc1cca20c06ecdd4a3cde94cd2e1fdce88328c2cdde45d7f952e42e958142f41
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