Instructions to use Maxlegrec/ChessLC0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxlegrec/ChessLC0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Maxlegrec/ChessLC0", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Maxlegrec/ChessLC0", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc7eb201c210f3516bd0c8e2da7e9058f70050909a85497b2066d9468d074f14
- Size of remote file:
- 835 MB
- SHA256:
- 59ccc54f97ee20a6158a1947fae0f7143f2a27c611537d10a703960eee4f5062
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