ICTNLP/FastLongSpeech
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Datasets:
Tasks:
Question Answering
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
ArXiv:
License:
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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'
Usage
First download the model from Model.
Then please refer to Github Page.
Requirements
We suggest to run with Python 3.10. Examples of usage:
git clone https://github.com/ictnlp/FastLongSpeech.git
cd transformers-main
pip install -e .
pip install deepspeed sentencepiece librosa
Training Model
Github Pages
- Downloads last month
- 80
Size of downloaded dataset files:
738 MB
Size of the auto-converted Parquet files:
729 MB
Number of rows:
164
Models trained or fine-tuned on ICTNLP/LongSpeech-Eval