Instructions to use Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6: direct link, hf CLI and curl.
- Browser
- Download file 19.9 MB
-
https://huggingface.co/Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Kromtao/7f55a22d-27c6-40c0-9242-7c3a5f04e3f6/resolve/main/last-checkpoint/optimizer.pt
19.9 MB
- Xet hash:
- b7f7325dad9b706338425f2330bd1c0663ab8f109f104f018e36146a15549c1d
- Size of remote file:
- 19.9 MB
- SHA256:
- 07816d7edd07920928970a7daaaf5f7c3b7facfa60347a8f1237d271c5512d9e
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