Instructions to use antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7/resolve/main/training_args.bin
- Command line
-
hf download hf://antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/antimage88/650c22dc-5672-4854-b13a-4bf3ee2f79a7/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 8e10c2335b61ebedfc1aecffa57c00c70f72656a047f5bc83f1185037514618b
- Size of remote file:
- 6.78 kB
- SHA256:
- 247e62f126d3e92835c52d6103c14c634a94ce2973aa2fcc060bec3fdd0bae15
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