Instructions to use codingmonster1234/chess-sft-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codingmonster1234/chess-sft-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codingmonster1234/chess-sft-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c36a573503c0308e9b9abdc8fa2a0c5011a12c448bc64cbb921f466efefdb85a
- Size of remote file:
- 1.47 kB
- SHA256:
- b06b4859b82670c608748c562d8e5dacd1516d097a11a46dd624fe8bdaf03e6f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.