Instructions to use antimage88/14737235-cbfa-4f8d-af34-7b7981b20620 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/14737235-cbfa-4f8d-af34-7b7981b20620 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "antimage88/14737235-cbfa-4f8d-af34-7b7981b20620") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from antimage88/14737235-cbfa-4f8d-af34-7b7981b20620: direct link, hf CLI and curl.
- Browser
- Download file 71.9 MB
-
https://huggingface.co/antimage88/14737235-cbfa-4f8d-af34-7b7981b20620/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://antimage88/14737235-cbfa-4f8d-af34-7b7981b20620/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/antimage88/14737235-cbfa-4f8d-af34-7b7981b20620/resolve/main/last-checkpoint/optimizer.pt
71.9 MB
- Xet hash:
- 84528ef537f5bbe4d0c70d6327e1e8ecc3fff769886316314d0f7520faa752e2
- Size of remote file:
- 71.9 MB
- SHA256:
- 82b58538240925cf1771d607d7b36db3ee107775b204c0a1cf234c95929e982b
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