Automatic Speech Recognition
Transformers
PyTorch
JAX
Tamil
wav2vec2
audio
speech
xlsr-fine-tuning-week
hf-asr-leaderboard
tamil language
Eval Results (legacy)
Instructions to use Gobee/Wav2vec2-Large-XLSR-Tamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gobee/Wav2vec2-Large-XLSR-Tamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gobee/Wav2vec2-Large-XLSR-Tamil")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gobee/Wav2vec2-Large-XLSR-Tamil") model = AutoModelForCTC.from_pretrained("Gobee/Wav2vec2-Large-XLSR-Tamil") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99ee7934913a75ed6117a4c39676fa1699dacad95f3bf2de8e18302cf2f140f6
- Size of remote file:
- 1.26 GB
- SHA256:
- 807f84c03c621a68312b988d47c069c2411aac65b60dc330723990cc0aee5b36
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