Instructions to use error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Genstruct-7B") model = PeftModel.from_pretrained(base_model, "error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e/resolve/main/adapter_model.bin
- Command line
-
hf download hf://error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- cdbf89390ce41036668b2581ea1a08ab6850c3448da9d559edf89755e776f2fa
- Size of remote file:
- 336 MB
- SHA256:
- 4076377f3fa9a6e6688b144c63f6e7ad7a974aa6efe26113236ea515018f2b2c
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