Instructions to use makeAmericaGreatAgain/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use makeAmericaGreatAgain/outputs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("makeAmericaGreatAgain/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use makeAmericaGreatAgain/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 makeAmericaGreatAgain/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 makeAmericaGreatAgain/outputs to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for makeAmericaGreatAgain/outputs to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="makeAmericaGreatAgain/outputs", max_seq_length=2048, )
- Xet hash:
- 1d289c9dc040eac7525674c8ced640587330f768d6ad40783b33abad8c4c4960
- Size of remote file:
- 5.5 kB
- SHA256:
- afcd5d2f63ece8f90307a12f9419cb0f93c03754093d78bff6b95357f25d930b
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