Instructions to use error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156: direct link, hf CLI and curl.
- Browser
- Download file 203 MB
-
https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/main/adapter_model.safetensors
203 MB
- Xet hash:
- 00afba08b0c4c8ae31e7fa5e2b7bd871aea4a9b6aaf0bc3b76068ace6c1487db
- Size of remote file:
- 203 MB
- SHA256:
- d1ea4d343efd437a6ba3b3586a938edb047a7679aba9df455b6e1905f66af3c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.