Instructions to use ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/resolve/main/training_args.bin
- Command line
-
hf download hf://ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 8c7b9e003dcd036266e0811ae14504713d23e54d34d2df8b2dfa36645ebc3e70
- Size of remote file:
- 6.84 kB
- SHA256:
- 9fe6eaa84f8be3c85492c606c62fbdb88bdd8abdbf58687ef746af5503974ebe
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