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h-munakata merged 1 commit into from
Jun 4, 2025
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Fix REAMDE.md #64

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -11,7 +11,7 @@ It supports seven models, four features (video and audio features), and six data
Furthermore, Lighthouse supports [audio moment retrieval](https://h-munakata.github.io/Language-based-Audio-Moment-Retrieval/), a task to identify relevant moments from an audio input based on a given text query.

## News
- [2025/05/20] [Version 1.1]() has been released. It includes API changes and AMR gradio demo.
- [2025/06/04] [Version 1.1](https://github.com/line/lighthouse/releases/tag/v1.1) has been released. It includes API changes, AMR gradio demo, and huggingface wrappers for the audio moment retrieval and clotho dataset.
- [2024/12/24] Our work ["Language-based audio moment retrieval"](https://arxiv.org/abs/2409.15672) has been accepted at ICASSP 2025.
- [2024/10/22] [Version 1.0](https://github.com/line/lighthouse/releases/tag/v1.0) has been released.
- [2024/10/6] Our paper has been accepted at EMNLP2024, system demonstration track.
Expand Down Expand Up @@ -258,8 +258,8 @@ Then zip `hl_val_submission.jsonl` and `hl_test_submission.jsonl`, and submit it
zip -r submission.zip val_submission.jsonl test_submission.jsonl
```

## Wrapper for HuggingFace
We start to support [wrappers for HuggingFace](https://huggingface.co/lighthouse-emnlp2024).
## HuggingFace Wrapper
We support [wrappers for HuggingFace](https://huggingface.co/lighthouse-emnlp2024).
You can easily use models and dataset via `AutoModel` and `huggingface_hub`.

The following models and datasets are provided by the wrapper for HuggingFace.
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