Instructions to use xjs521/open_face2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xjs521/open_face2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/input/open-llama/pytorch/3b/1/") model = PeftModel.from_pretrained(base_model, "xjs521/open_face2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from xjs521/open_face2: direct link, hf CLI and curl.
- Browser
- Download file 85.2 MB
-
https://huggingface.co/xjs521/open_face2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://xjs521/open_face2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/xjs521/open_face2/resolve/main/adapter_model.bin
85.2 MB
- Xet hash:
- 551944281bfe4017e2b085271352d9c2284c5257fa515ba39438712a8a45f518
- Size of remote file:
- 85.2 MB
- SHA256:
- 8db63d7aeabc6055d7f4e01b18e2e888799bea1a9c6aa804bbd375a7f25d011a
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