Instructions to use MatanP/Qwen_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MatanP/Qwen_fine_tuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "MatanP/Qwen_fine_tuned") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MatanP/Qwen_fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/MatanP/Qwen_fine_tuned/resolve/main/training_args.bin
- Command line
-
hf download hf://MatanP/Qwen_fine_tuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MatanP/Qwen_fine_tuned/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- b4ded6ccae43620aab8c79f30976ef295e3714f491da4519fa4dc2653cf063c3
- Size of remote file:
- 5.5 kB
- SHA256:
- 48fca8732c3cbb5d33918eae81ead8f943d5be03cb10e4f386e32bc00b8c24e9
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