Instructions to use MSweetbread/qwen2.5-1.5b-chess-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSweetbread/qwen2.5-1.5b-chess-qlora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MSweetbread/qwen2.5-1.5b-chess-qlora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from MSweetbread/qwen2.5-1.5b-chess-qlora: direct link, hf CLI and curl.
- Browser
- Download file 8.75 MB
-
https://huggingface.co/MSweetbread/qwen2.5-1.5b-chess-qlora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://MSweetbread/qwen2.5-1.5b-chess-qlora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/MSweetbread/qwen2.5-1.5b-chess-qlora/resolve/main/adapter_model.safetensors
8.75 MB
- Xet hash:
- 8d20a7e945790b611b196106b5f5761f8218b01ac40b28ce2dfaece04e4205eb
- Size of remote file:
- 8.75 MB
- SHA256:
- ca541e8877ba0849b6349282ddff1ca7d20d1ca68fb5a55c73a6b5ae5fac02ab
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