Instructions to use beast33/d791a973-ae3b-4731-9d01-7bfbf4996002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/d791a973-ae3b-4731-9d01-7bfbf4996002 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "beast33/d791a973-ae3b-4731-9d01-7bfbf4996002") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from beast33/d791a973-ae3b-4731-9d01-7bfbf4996002: direct link, hf CLI and curl.
- Browser
- Download file 202 MB
-
https://huggingface.co/beast33/d791a973-ae3b-4731-9d01-7bfbf4996002/resolve/9c6c4c2b16e2469b4e9f620f4cf61b5b8df5a2a5/adapter_model.safetensors
- Command line
-
hf download hf://beast33/d791a973-ae3b-4731-9d01-7bfbf4996002@9c6c4c2b16e2469b4e9f620f4cf61b5b8df5a2a5/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/beast33/d791a973-ae3b-4731-9d01-7bfbf4996002/resolve/9c6c4c2b16e2469b4e9f620f4cf61b5b8df5a2a5/adapter_model.safetensors
202 MB
- Xet hash:
- fd689d6b86942ee470944535d765b9a7fa88a42a22b97dbda400e8e2d68d1874
- Size of remote file:
- 202 MB
- SHA256:
- da4571e240ff99c3a04dca70670a882fa16fc0feaea166b2e194907109341812
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.