Instructions to use cuadron11/modelBsc62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBsc62 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBsc62")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBsc62") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBsc62", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 812da1044d2a7a4f5f1df589a3ad136111b5c4e4f10c7ad2596370e797e04826
- Size of remote file:
- 3.58 kB
- SHA256:
- 93157f45ae84b987940fdeaf37589350139f537bd1b5642a7589e9471ca591f5
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