Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use shivam/wav2vec2-xls-r-300m-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivam/wav2vec2-xls-r-300m-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shivam/wav2vec2-xls-r-300m-hindi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("shivam/wav2vec2-xls-r-300m-hindi") model = AutoModelForCTC.from_pretrained("shivam/wav2vec2-xls-r-300m-hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f85149ccb6c6c6aa7eab51c23816346d146d931038c15ed2c495c52619d30b07
- Size of remote file:
- 2.99 kB
- SHA256:
- 39f88815a9df85d0536ed3c43506fe106c788a407237e0b4e79cbec582cfcb4d
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