Instructions to use baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/GPT4-x-Vicuna-13b-fp16") model = PeftModel.from_pretrained(base_model, "baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0/resolve/main/adapter_model.bin
- Command line
-
hf download hf://baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/baby-dev/e5308c3e-24bf-4932-b07c-7569c62d0ba0/resolve/main/adapter_model.bin
501 MB
- Xet hash:
- 7549f508a7b1780516aacdfd4b0fb6f8aaca132ce2b8288d05e805d76f47fb97
- Size of remote file:
- 501 MB
- SHA256:
- dd96f32d5bb6050ac90983988ee1e6a28daf4593f338fb2ff216b2100c29f738
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