Instructions to use srswti/keshav with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use srswti/keshav with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir keshav srswti/keshav
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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This edition ensures peak performance and compatibility with the Bodega Inference Engine infrastructure.
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## Model Information
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- **Trained By:** SRSWTI
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- **Optimized For:** Bodega Inference Engine
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- **Use Cases:** Fast text generation, chat, reasoning, code generation
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## Optimizations
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- Verified compatibility with Bodega Inference Engine
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This edition ensures peak performance and compatibility with the Bodega Inference Engine infrastructure.
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## Optimizations
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- Verified compatibility with Bodega Inference Engine
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