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 training_args.bin from error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/main/training_args.bin
- Command line
-
hf download hf://error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 782123a5eb929aa1048c7f17f3e6c14b2725cbcb35b7320034669abe81c0c2c6
- Size of remote file:
- 6.78 kB
- SHA256:
- b4b828da2213b3921a3d64e28255ff281633a5fab3de1cdbdcc0a56a84d9f94a
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