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.bin from error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156: direct link, hf CLI and curl.
- Browser
- Download file 204 MB
-
https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/01a38c36b4f7e3a56abbf6d2bb37476db0924b9e/adapter_model.bin
- Command line
-
hf download hf://error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156@01a38c36b4f7e3a56abbf6d2bb37476db0924b9e/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/01a38c36b4f7e3a56abbf6d2bb37476db0924b9e/adapter_model.bin
204 MB
- Xet hash:
- b3f245772bb0d19257a126344c2e04168404a5c0dab4b0a3f98df74f683d29cb
- Size of remote file:
- 204 MB
- SHA256:
- c744a808fd17ab2d58da40c81a3da9e649b20470ef850f35b5e1e3ac9dca4470
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