Instructions to use Mercy-62/qwen3-4b-diff-python-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mercy-62/qwen3-4b-diff-python-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mercy-62/qwen3-4b-diff-python-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Mercy-62/qwen3-4b-diff-python-lora: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/Mercy-62/qwen3-4b-diff-python-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Mercy-62/qwen3-4b-diff-python-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Mercy-62/qwen3-4b-diff-python-lora/resolve/main/adapter_model.safetensors
132 MB
- Xet hash:
- 02e982f07e34afeb97c2ed5862eced613be3939be482ca4e85101177261a0466
- Size of remote file:
- 132 MB
- SHA256:
- f2644d474b1b05ebfb13655d8ea785ae72afb4a519a863de838ec45592479f94
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