Instructions to use thailevann/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thailevann/outputs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thailevann/outputs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use thailevann/outputs 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 thailevann/outputs 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 thailevann/outputs to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for thailevann/outputs to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="thailevann/outputs", max_seq_length=2048, )
- Xet hash:
- 8226f7cce6b53a0bfd882e5b7c8e2b7f0b69d74351777c636d95c460b01d7f36
- Size of remote file:
- 6.2 kB
- SHA256:
- 059e4e2658750243c7916f9112deb9af1e5cf492788de13a9745e2f66a672c1e
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