Update README.md
Browse filesAdded link to the HF Space demo
README.md
CHANGED
|
@@ -30,7 +30,8 @@ NatureLM-audio is an audio-language model designed to address bioacoustic tasks
|
|
| 30 |
- **Repository:** [https://github.com/earthspecies/naturelm-audio](https://github.com/earthspecies/naturelm-audio)
|
| 31 |
- **Paper:** [NatureLM-audio: An Audio-Language Foundation Model for Bioacoustics](https://arxiv.org/abs/2411.07186)
|
| 32 |
- **Demo:** [https://earthspecies.github.io/naturelm-audio-demo/](https://earthspecies.github.io/naturelm-audio-demo/)
|
| 33 |
-
|
|
|
|
| 34 |
## Uses
|
| 35 |
|
| 36 |
### Direct Use
|
|
@@ -110,7 +111,7 @@ Refer to the GitHub [repository](https://github.com/earthspecies/naturelm-audio)
|
|
| 110 |
|
| 111 |
### Training Data
|
| 112 |
|
| 113 |
-
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
|
| 114 |
|
| 115 |
### Training Procedure
|
| 116 |
|
|
@@ -143,7 +144,7 @@ The model is evaluated on the [BEANS-Zero](https://huggingface.co/datasets/Earth
|
|
| 143 |
|
| 144 |
### Results
|
| 145 |
|
| 146 |
-
The model achieves state-of-the-art performance on several bioacoustics tasks, including zero-shot classification of unseen species.
|
| 147 |
|
| 148 |
## Environmental Impact
|
| 149 |
|
|
@@ -190,7 +191,7 @@ Robinson, D., Miron, M., Hagiwara, M., & Pietquin, O. (2025). NatureLM-audio: An
|
|
| 190 |
|
| 191 |
## More Information
|
| 192 |
|
| 193 |
-
For more information, please visit the project page.
|
| 194 |
|
| 195 |
## Model Card Authors
|
| 196 |
|
|
|
|
| 30 |
- **Repository:** [https://github.com/earthspecies/naturelm-audio](https://github.com/earthspecies/naturelm-audio)
|
| 31 |
- **Paper:** [NatureLM-audio: An Audio-Language Foundation Model for Bioacoustics](https://arxiv.org/abs/2411.07186)
|
| 32 |
- **Demo:** [https://earthspecies.github.io/naturelm-audio-demo/](https://earthspecies.github.io/naturelm-audio-demo/)
|
| 33 |
+
- **Hugging Face Space - UI Demo:** [https://huggingface.co/spaces/EarthSpeciesProject/NatureLM-Audio](https://huggingface.co/spaces/EarthSpeciesProject/NatureLM-Audio)
|
| 34 |
+
|
| 35 |
## Uses
|
| 36 |
|
| 37 |
### Direct Use
|
|
|
|
| 111 |
|
| 112 |
### Training Data
|
| 113 |
|
| 114 |
+
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.
|
| 115 |
|
| 116 |
### Training Procedure
|
| 117 |
|
|
|
|
| 144 |
|
| 145 |
### Results
|
| 146 |
|
| 147 |
+
The model achieves state-of-the-art performance on several bioacoustics tasks, including zero-shot classification of unseen species.
|
| 148 |
|
| 149 |
## Environmental Impact
|
| 150 |
|
|
|
|
| 191 |
|
| 192 |
## More Information
|
| 193 |
|
| 194 |
+
For more information, please visit the [project page](https://earthspecies.github.io/naturelm-audio-demo/).
|
| 195 |
|
| 196 |
## Model Card Authors
|
| 197 |
|