Instructions to use slprl/slam_scaled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/slam_scaled with Transformers:
# Load model directly from transformers import UnitLM model = UnitLM.from_pretrained("slprl/slam_scaled", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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- slprl/sTinyStories
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library_name: transformers
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license: mit
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pipeline_tag: audio-
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---
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# Slamming: Training a Speech Language Model on One GPU in a Day
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- slprl/sTinyStories
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library_name: transformers
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license: mit
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pipeline_tag: audio-to-audio
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---
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# Slamming: Training a Speech Language Model on One GPU in a Day
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