Instructions to use FirstPotatoCoder/Furina_Adapter_30e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Furina_Adapter_30e with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FirstPotatoCoder/Furina_Adapter_30e", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use FirstPotatoCoder/Furina_Adapter_30e 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 FirstPotatoCoder/Furina_Adapter_30e 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 FirstPotatoCoder/Furina_Adapter_30e to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FirstPotatoCoder/Furina_Adapter_30e to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FirstPotatoCoder/Furina_Adapter_30e", max_seq_length=2048, )
- Xet hash:
- 2998d8aba1d6f1327326cb3bee9a59d0962ae89ad8ded60b1e346ec5d41c33a8
- Size of remote file:
- 507 MB
- SHA256:
- 93210ba0c5898c1e83b02eed9c055ad127cd8bed231fc97171e21dcfe07dabd1
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