Instructions to use smjain/QWenAPI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smjain/QWenAPI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "smjain/QWenAPI") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smjain/QWenAPI: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/smjain/QWenAPI/resolve/main/training_args.bin
- Command line
-
hf download hf://smjain/QWenAPI/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smjain/QWenAPI/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- be1dc4314239ab30c3225c6b5e2c22e6b27343902bbae04f5e9a385bab0b4af2
- Size of remote file:
- 5.43 kB
- SHA256:
- 31699493982122580ccd7da14723e06959493a873b5314670f0f61a4d1c5b9f6
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