Instructions to use shahidchdry/qwen3.5-4b-router-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidchdry/qwen3.5-4b-router-instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shahidchdry/qwen3.5-4b-router-instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use shahidchdry/qwen3.5-4b-router-instruct 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 shahidchdry/qwen3.5-4b-router-instruct 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 shahidchdry/qwen3.5-4b-router-instruct to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for shahidchdry/qwen3.5-4b-router-instruct to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="shahidchdry/qwen3.5-4b-router-instruct", max_seq_length=2048, )
- Xet hash:
- 7934681f3137f294dc84bdd5d0e0dc34d8e64b8e94301b2c51cbb81647df9062
- Size of remote file:
- 85 MB
- SHA256:
- dc39ae9f414821e7fd1e472d1b724365e87dca05342cadd45049794a76c2dae0
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