Safetensors
EarthSpeciesProject
NatureLM
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Added link to the HF Space demo

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@@ -30,7 +30,8 @@ NatureLM-audio is an audio-language model designed to address bioacoustic tasks
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  - **Repository:** [https://github.com/earthspecies/naturelm-audio](https://github.com/earthspecies/naturelm-audio)
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  - **Paper:** [NatureLM-audio: An Audio-Language Foundation Model for Bioacoustics](https://arxiv.org/abs/2411.07186)
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  - **Demo:** [https://earthspecies.github.io/naturelm-audio-demo/](https://earthspecies.github.io/naturelm-audio-demo/)
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  ## Uses
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  ### Direct Use
@@ -110,7 +111,7 @@ Refer to the GitHub [repository](https://github.com/earthspecies/naturelm-audio)
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  ### Training Data
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- The model is trained on a diverse dataset of text-audio pairs, including bioacoustic recordings, general audio, speech, and music datasets. The training data includes datasets such as Xeno-canto, iNaturalist, and Watkins. We release the [training dataset](https://huggingface.co/datasets/EarthSpeciesProject/NatureLM) on huggingface.
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  ### Training Procedure
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@@ -143,7 +144,7 @@ The model is evaluated on the [BEANS-Zero](https://huggingface.co/datasets/Earth
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  ### Results
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- The model achieves state-of-the-art performance on several bioacoustics tasks, including zero-shot classification of unseen species. \<INCLUDE TABLE?\>
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  ## Environmental Impact
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@@ -190,7 +191,7 @@ Robinson, D., Miron, M., Hagiwara, M., & Pietquin, O. (2025). NatureLM-audio: An
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  ## More Information
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- For more information, please visit the project page.
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  ## Model Card Authors
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  - **Repository:** [https://github.com/earthspecies/naturelm-audio](https://github.com/earthspecies/naturelm-audio)
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  - **Paper:** [NatureLM-audio: An Audio-Language Foundation Model for Bioacoustics](https://arxiv.org/abs/2411.07186)
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  - **Demo:** [https://earthspecies.github.io/naturelm-audio-demo/](https://earthspecies.github.io/naturelm-audio-demo/)
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+ - **Hugging Face Space - UI Demo:** [https://huggingface.co/spaces/EarthSpeciesProject/NatureLM-Audio](https://huggingface.co/spaces/EarthSpeciesProject/NatureLM-Audio)
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  ## Uses
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  ### Direct Use
 
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  ### Training Data
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+ The model is trained on a diverse dataset of text-audio pairs, including bioacoustic recordings, general audio, speech, and music datasets. The training data includes datasets such as Xeno-canto, iNaturalist, and Watkins. We have released the [training dataset](https://huggingface.co/datasets/EarthSpeciesProject/NatureLM) on Hugging Face.
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  ### Training Procedure
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  ### Results
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+ The model achieves state-of-the-art performance on several bioacoustics tasks, including zero-shot classification of unseen species.
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  ## Environmental Impact
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  ## More Information
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+ For more information, please visit the [project page](https://earthspecies.github.io/naturelm-audio-demo/).
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  ## Model Card Authors
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