Instructions to use DenCT/SmolLM2-Python-Coder-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use DenCT/SmolLM2-Python-Coder-adapter 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 DenCT/SmolLM2-Python-Coder-adapter 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 DenCT/SmolLM2-Python-Coder-adapter to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for DenCT/SmolLM2-Python-Coder-adapter to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="DenCT/SmolLM2-Python-Coder-adapter", max_seq_length=2048, )
- Xet hash:
- e2dd23cbe3238e4e3bed1dd2fdbb171bc2c62a374ff1afd6d5a8c016036fdf57
- Size of remote file:
- 34.8 MB
- SHA256:
- de78472b7e45042a238a48c3edef1cd2a95c5453d048f20f20ac883749a918ef
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