Instructions to use antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d: direct link, hf CLI and curl.
- Browser
- Download file 169 MB
-
https://huggingface.co/antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/antimage88/395d9bb7-52e4-475e-8a8c-5638ca879a6d/resolve/main/last-checkpoint/optimizer.pt
169 MB
- Xet hash:
- c306467981c82a73610aa2a811d766fc44cfeacbf84f3b281f0154b8f2afe057
- Size of remote file:
- 169 MB
- SHA256:
- 19bb090307e18b4b1081fb2d63f5a8b3504f0c0423c8aae6988ae646545ec470
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