Instructions to use thespicynoodle/summariser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thespicynoodle/summariser with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thespicynoodle/summariser", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use thespicynoodle/summariser 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 thespicynoodle/summariser 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 thespicynoodle/summariser to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for thespicynoodle/summariser to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="thespicynoodle/summariser", max_seq_length=2048, )
- Xet hash:
- d204f67d19c6fda20d9b962a3a0af286a5d9319108df28396693773298f525d3
- Size of remote file:
- 168 MB
- SHA256:
- ed3e95e6a3101031434506b096583653ac9a1f71f8745936630524e0123d4776
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