Instructions to use ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ubetu/Qwen2.5-Coder-0.5B-Instruct-code-attention", max_seq_length=2048, )
- Xet hash:
- 9bd3cd44b0119750c8526030a87c9d8d9481d02c5445cd2678d9f35e863ff17b
- Size of remote file:
- 656 kB
- SHA256:
- fde7d847d75ed71a2f56cb96567330db49cb69633e6351fa3c4c9a4a9140f0ef
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