Instructions to use bobbyw/adding_peft_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobbyw/adding_peft_test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bobbyw/adding_peft_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use bobbyw/adding_peft_test 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 bobbyw/adding_peft_test 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 bobbyw/adding_peft_test to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bobbyw/adding_peft_test to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bobbyw/adding_peft_test", max_seq_length=2048, )
- Xet hash:
- 1149a8ab9e93732622dcc7484f3792b3d00c34e6e55b284f9e5be48392d443fc
- Size of remote file:
- 168 MB
- SHA256:
- 5b75d79dd07347c1bc3f772b725e298e3379194f7af752b011f822ccc07e2d50
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