Instructions to use timlim123/al_13b_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use timlim123/al_13b_best with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/weights_hf/llama_v2/weights_hf/13B") model = PeftModel.from_pretrained(base_model, "timlim123/al_13b_best") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from timlim123/al_13b_best: direct link, hf CLI and curl.
- Browser
- Download file 26.3 MB
-
https://huggingface.co/timlim123/al_13b_best/resolve/main/adapter_model.bin
- Command line
-
hf download hf://timlim123/al_13b_best/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/timlim123/al_13b_best/resolve/main/adapter_model.bin
26.3 MB
- Xet hash:
- 8fd44430e9d3dacd1a155964aee60974dbfb5852378d8c04da57736c89ecfcac
- Size of remote file:
- 26.3 MB
- SHA256:
- 5e391f02706e84022c8188a892a32c150063b561c1a0a08f7b15413707f5136c
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