Instructions to use slprl/slam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/slam with Transformers:
# Load model directly from transformers import UnitLM model = UnitLM.from_pretrained("slprl/slam", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: mit
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datasets:
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- openslr/librispeech_asr
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- slprl/sTinyStories2
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- slprl/SpokenSwag
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base_model:
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- Qwen/Qwen2.5-0.5B
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pipeline_tag: audio-to-audio
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license: mit
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datasets:
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- openslr/librispeech_asr
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- slprl/SpokenSwag
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- slprl/sTinyStories
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base_model:
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- Qwen/Qwen2.5-0.5B
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pipeline_tag: audio-to-audio
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