Instructions to use Buura/qwen-coder-1.5b-opencodeinstruct-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buura/qwen-coder-1.5b-opencodeinstruct-grpo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Buura/qwen-coder-1.5b-opencodeinstruct-grpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Buura/qwen-coder-1.5b-opencodeinstruct-grpo: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Buura/qwen-coder-1.5b-opencodeinstruct-grpo/resolve/main/tokenizer.json
- Command line
-
hf download hf://Buura/qwen-coder-1.5b-opencodeinstruct-grpo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Buura/qwen-coder-1.5b-opencodeinstruct-grpo/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d511be736037f7ae0be937adcecdafb45a8042c87316ad8e5dc0d6f6dbb812c7
- Size of remote file:
- 11.4 MB
- SHA256:
- a11add1ccce473bcd467355ba4e231ba727eee54501528658b0d6fa18112957e
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