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 last-checkpoint/optimizer.pt from ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d: direct link, hf CLI and curl.
- Browser
- Download file 40.2 MB
-
https://huggingface.co/ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ancient41/b53fce10-9f05-45b6-a289-82a791ecc17d/resolve/main/last-checkpoint/optimizer.pt
40.2 MB
- Xet hash:
- fa49d4caa472cd80a32e267d6f440d070defca66f6e1a30b82740bfbe72b2418
- Size of remote file:
- 40.2 MB
- SHA256:
- 6744a3742b3f9df4fe099aa8b082199737fa4f71bb2fb3c3065bbd49362ac48a
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