Instructions to use Ashkchamp/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashkchamp/outputs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ashkchamp/outputs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Ashkchamp/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 Ashkchamp/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 Ashkchamp/outputs to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ashkchamp/outputs to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Ashkchamp/outputs", max_seq_length=2048, )
- Xet hash:
- edc9debc76103ad22bdcc5c669d8d7b4815e3dd80a79371c91aed6b083a83ae4
- Size of remote file:
- 11.4 MB
- SHA256:
- 00ff1d43b119596534f778ecc067f5b457d2ce2fe2665ab12fe7a8705fda3437
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