Instructions to use prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab 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, "prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 3963c5b7d80f9e4910d26a0a3ab5cb5f0b869246d8cb8c1bdb784e6eb7293c6e
- Size of remote file:
- 6.84 kB
- SHA256:
- a18afa8441208afbbbe8cf350d1f4ea7a7c972212db2d05bd478df33d8fee737
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