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 adapter_model.bin from ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d: direct link, hf CLI and curl.
- Browser
- Download file 78.3 MB
-
https://huggingface.co/ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/resolve/main/adapter_model.bin
78.3 MB
- Xet hash:
- 26f2f5cb9a2a91232f78919e42531c5607bf219c55070733512e6377a5502fab
- Size of remote file:
- 78.3 MB
- SHA256:
- afbb80b5d1faeeef0034bcbdd8744fbe76c97089412687d8d4c08c845799777a
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