Instructions to use ml-for-speech/language-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml-for-speech/language-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ml-for-speech/language-classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ml-for-speech/language-classification") model = AutoModelForAudioClassification.from_pretrained("ml-for-speech/language-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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| 0.1274 | 12.0 | 4164 | 1.1180 | 0.7376 |
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| 0.1074 | 13.0 | 4511 | 1.1229 | 0.7401 |
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| 0.0979 | 14.0 | 4858 | 1.1523 | 0.7383 |
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## Disclaimer
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THE MODEL IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS MODEL INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS MODEL.
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