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:
- 5238192545d83f60860f73fada1b548f1b0699cef320fe106832788cc214cef6
- Size of remote file:
- 3.58 kB
- SHA256:
- a70f333de538825a23b00175bc9fdae5ebbfe56b65488cd076121edcce11e3c4
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