Instructions to use cuadron11/modelBeto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBeto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBeto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBeto") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBeto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4704953a8e6f7be80bc6e5cef34bde2a0010f8bb19c7e227d4d7fabc90355fab
- Size of remote file:
- 3.58 kB
- SHA256:
- 60c2d20f02032b5193f13e6465ce360eb90963c39eafeb849a30fd322899127d
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