Instructions to use JoeShingleton/GeoLlama-Qwen2.5-7b-toponym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoeShingleton/GeoLlama-Qwen2.5-7b-toponym with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JoeShingleton/GeoLlama-Qwen2.5-7b-toponym", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use JoeShingleton/GeoLlama-Qwen2.5-7b-toponym 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 JoeShingleton/GeoLlama-Qwen2.5-7b-toponym 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 JoeShingleton/GeoLlama-Qwen2.5-7b-toponym to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for JoeShingleton/GeoLlama-Qwen2.5-7b-toponym to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="JoeShingleton/GeoLlama-Qwen2.5-7b-toponym", max_seq_length=2048, )
- Xet hash:
- 1bfe7ab85f773ea200487710df7208180e01d980f64dcd60cde449363455a649
- Size of remote file:
- 162 MB
- SHA256:
- 614316682feed5ab7d768678098931bdbda7a5e8509044d72d2604e0f52fef17
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