Instructions to use VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/68ebf3bf-4497-497c-9de6-e88e775e4453/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b4f475f2aa8b2e248790724f715b506e0a45576b33a7ed7b58caee3e8372ff46
- Size of remote file:
- 6.78 kB
- SHA256:
- 97152481ecfd8d0cfef528e217e81fd92ebfcd40588216b0fbfb5dbfa8ec43fd
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