Instructions to use xcczach/YAGS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xcczach/YAGS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="xcczach/YAGS", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xcczach/YAGS", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f672c69576708079debd02053bc501717a7c008d1d44515fcaa67cdd06c3c74
- Size of remote file:
- 2.2 GB
- SHA256:
- 02ca7ee88a9af0bdb7da71d8c7a9416a982dbcbce2c93cd01b2998cddd2d8a3c
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