Instructions to use joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9/resolve/main/adapter_model.bin
- Command line
-
hf download hf://joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/joboffer/016562b0-60fd-486f-b6d0-8c59b94068c9/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- f7e605855d1f987010c7890d6b8547edd44232d482d0a90be01de6bdf16d47f1
- Size of remote file:
- 168 MB
- SHA256:
- f21f3dd231f46703154a45284bb0229286f2e0659d01bccf135e710ea309660d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.