Instructions to use myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2") model = PeftModel.from_pretrained(base_model, "myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851/resolve/main/adapter_model.bin
- Command line
-
hf download hf://myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 26f84272d8d44be8cda19ce8a3a0a8e5c43c7779849642e8571ed4c7674b98f4
- Size of remote file:
- 84 MB
- SHA256:
- 3c6fa6e6f6e7c55d8dcdbaff8da00221db2aa62941837c59f3621f6f5c19f6cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.