Instructions to use lbgan/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lbgan/test_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lbgan/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use lbgan/test_model 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 lbgan/test_model 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 lbgan/test_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lbgan/test_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="lbgan/test_model", max_seq_length=2048, )
- Xet hash:
- bcdea65ccacb950335588523bae33f6219433d293c18c61bdf29a560ed6f725a
- Size of remote file:
- 76.9 MB
- SHA256:
- fabd2b598d92baf87974f060125e055b50fceea515e809a8df5646c11ce89231
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