Instructions to use timlim123/7b_al_set_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use timlim123/7b_al_set_best with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/llama/weights_hf/Llama-2-7b-hf/") model = PeftModel.from_pretrained(base_model, "timlim123/7b_al_set_best") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from timlim123/7b_al_set_best: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/timlim123/7b_al_set_best/resolve/main/adapter_model.bin
- Command line
-
hf download hf://timlim123/7b_al_set_best/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/timlim123/7b_al_set_best/resolve/main/adapter_model.bin
16.8 MB
- Xet hash:
- 55488550652ee61795c5d449885520de7219ecfb708f1769b85c702712cbbad8
- Size of remote file:
- 16.8 MB
- SHA256:
- 6e5369214bf41268b3a691138a5631e47dac65cbc44b6edffa91a41330bf5920
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