Instructions to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095: direct link, hf CLI and curl.
- Browser
- Download file 83.4 kB
-
https://huggingface.co/eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/last-checkpoint/optimizer.pt
83.4 kB
- Xet hash:
- ed08bed52cf1778892fd82f0185aee065960a2c8e1e9aa2ef112c58fc742b393
- Size of remote file:
- 83.4 kB
- SHA256:
- 460191064b873a2b9d2aa0a64d3016efad94690434277938daf08cad05b9e5bc
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