Instructions to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/47615d62-b7f3-4efd-b567-61a937215b9f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/5255b81c-a162-4f3a-9a96-f4d344cb99c8") model = PeftModel.from_pretrained(base_model, "error577/47615d62-b7f3-4efd-b567-61a937215b9f") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/47615d62-b7f3-4efd-b567-61a937215b9f: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/47615d62-b7f3-4efd-b567-61a937215b9f/resolve/c4f135b28600110b282ffe40052f49f204d29e0c/training_args.bin
- Command line
-
hf download hf://error577/47615d62-b7f3-4efd-b567-61a937215b9f@c4f135b28600110b282ffe40052f49f204d29e0c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/47615d62-b7f3-4efd-b567-61a937215b9f/resolve/c4f135b28600110b282ffe40052f49f204d29e0c/training_args.bin
6.78 kB
- Xet hash:
- f83c2cc37b76150210193a95d8275787e7837b58d68d5c51a0bbd3cd1b627da1
- Size of remote file:
- 6.78 kB
- SHA256:
- 4385cdaf440411df95c5116360813b41f08280e1dad003fb6d005d08a74cf3ac
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