Audio Classification
Transformers
ONNX
Safetensors
PyTorch
wav2vec2
language-identification
indian-languages
multilingual
speech
asr-preprocessing
callcenter-ai
speech-analytics
huggingface
Instructions to use onecxi/vakgyata-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onecxi/vakgyata-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="onecxi/vakgyata-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("onecxi/vakgyata-tiny") model = AutoModelForAudioClassification.from_pretrained("onecxi/vakgyata-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -137,7 +137,7 @@ If you use this model in your research or application, please consider citing th
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title={vakgyata: Language Identification for Indian Speech},
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author={OneCXI},
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year={2024},
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url={https://huggingface.co/onecxi/vakgyata-
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}
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```
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title={vakgyata: Language Identification for Indian Speech},
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author={OneCXI},
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year={2024},
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url={https://huggingface.co/onecxi/vakgyata-tiny}
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}
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```
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