Instructions to use Stopwolf/Mislisa-1.5B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stopwolf/Mislisa-1.5B-Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Stopwolf/Mislisa-1.5B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Stopwolf/Mislisa-1.5B-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 Stopwolf/Mislisa-1.5B-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 Stopwolf/Mislisa-1.5B-Instruct to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Stopwolf/Mislisa-1.5B-Instruct to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Stopwolf/Mislisa-1.5B-Instruct", max_seq_length=2048, )
- Xet hash:
- 9d948b4eeb8eb36c69e3ae6921d5baa5991f7d42da4709a8f1333984ae54bf5c
- Size of remote file:
- 591 MB
- SHA256:
- c80955ef268e7e412b153ac2e56c8c5cafe755c2b28b2811e8f8700a96adc792
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