Instructions to use ebayes/uhura-llama3-token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebayes/uhura-llama3-token with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebayes/uhura-llama3-token", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use ebayes/uhura-llama3-token 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 ebayes/uhura-llama3-token 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 ebayes/uhura-llama3-token to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ebayes/uhura-llama3-token to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ebayes/uhura-llama3-token", max_seq_length=2048, )
- Xet hash:
- 113eedf1f3968f01e0dfbeebcb39f95043ba3f6b8770a98b56f01b903adcadaa
- Size of remote file:
- 4.37 GB
- SHA256:
- 640050e25c8a4841ef3aff8dfb06920a723974d6474f34de1c5d2afc0ac5f761
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