Datasets:
Tasks:
Question Answering
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
ArXiv:
License:
Create README.md
Browse files
README.md
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# The proposed Long-Speech understanding evaluation dataset for the paper '[FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing]'
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<p align="center" width="80%">
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<img src="[./fast_long_4.png](https://cdn-uploads.huggingface.co/production/uploads/66680c0505c407bfea87667c/c6UtdNVhOVWZ8N6gxS9oL.png)" alt="performance" style="width: 90%; min-width: 300px; display: block; margin: auto;">
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</p>
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## Usage
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First download the model from [Model](https://huggingface.co/ICTNLP/FastLongSpeech)
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Then please refer to [Github Page](https://github.com/ictnlp/FastLongSpeech)
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### Requirements
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We suggest to run with Python 3.10.
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Examples of usage:
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```
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git clone https://github.com/ictnlp/FastLongSpeech.git
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cd transformers-main
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pip install -e .
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pip install deepspeed sentencepiece librosa
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```
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## Training Model
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- https://huggingface.co/ICTNLP/FastLongSpeech
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## Github Pages
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- https://github.com/ictnlp/FastLongSpeech
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