Instructions to use Mercy-62/python-code-only-Qwen-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mercy-62/python-code-only-Qwen-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mercy-62/python-code-only-Qwen-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from Mercy-62/python-code-only-Qwen-lora: direct link, hf CLI and curl.
- Browser
- Download file 556 Bytes
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https://huggingface.co/Mercy-62/python-code-only-Qwen-lora/resolve/cc6dfdbbfb62bc7dd4cd716f305b2c49b2e0b42d/README.md
- Command line
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hf download hf://Mercy-62/python-code-only-Qwen-lora@cc6dfdbbfb62bc7dd4cd716f305b2c49b2e0b42d/README.md
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curl -L -o README.md https://huggingface.co/Mercy-62/python-code-only-Qwen-lora/resolve/cc6dfdbbfb62bc7dd4cd716f305b2c49b2e0b42d/README.md
556 Bytes
metadata
base_model: unsloth/qwen3-4b-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: Mercy-62
- License: apache-2.0
- Finetuned from model : unsloth/qwen3-4b-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with Unsloth
