Instructions to use beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2: direct link, hf CLI and curl.
- Browser
- Download file 80.9 MB
-
https://huggingface.co/beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/beast33/64987d2d-0312-4c14-a952-28dd5dd1eed2/resolve/main/adapter_model.bin
80.9 MB
- Xet hash:
- 7ee717e4f4b1dd1ebb3682ecfcf60187db496ecd53525b7bad16ab3d7eb5f8f2
- Size of remote file:
- 80.9 MB
- SHA256:
- 065e3baa47c10f5eec59290e7378c46287f5fbae234098c305ea7c24a93b8b90
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