Audio-Text-to-Text
Transformers
Safetensors
English
Korean
fastslm
feature-extraction
audio
text-generation
custom_code
Eval Results
Instructions to use okestro-ai-lab/FastSLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use okestro-ai-lab/FastSLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("okestro-ai-lab/FastSLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bibtex
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@inproceedings{lee2026fastslm,
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title
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author
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booktitle
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}
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```
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```bibtex
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@inproceedings{lee2026fastslm,
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title={FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation},
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author={Lee, Junseok and Chun, Chang-Jae},
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booktitle={Findings of the Association for Computational Linguistics: EMNLP 2026},
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pages={5374--5389},
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year={2026}
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}
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}
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```
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