Instructions to use Maliktg7/qwen3-8b-opencodeinstruct-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maliktg7/qwen3-8b-opencodeinstruct-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Maliktg7/qwen3-8b-opencodeinstruct-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from Maliktg7/qwen3-8b-opencodeinstruct-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/Maliktg7/qwen3-8b-opencodeinstruct-checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://Maliktg7/qwen3-8b-opencodeinstruct-checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Maliktg7/qwen3-8b-opencodeinstruct-checkpoints/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- eb100a356ed5497a686dfab1603d25c342ddcbe85ffe65804dfdc718bb51a6b0
- Size of remote file:
- 5.97 kB
- SHA256:
- 68eaf0f2659299d2c544c4aa60c232f533a8fa5f98febbcaa02dc2ccfd80ea97
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