Instructions to use SamagraDataGov/whisper-tiny-hindi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/whisper-tiny-hindi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/whisper-tiny-hindi2_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/whisper-tiny-hindi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/whisper-tiny-hindi2_test") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40
Browse files
pytorch_model.bin
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runs/Jun29_09-39-32_bharatsahaiyak-test/events.out.tfevents.1719653991.bharatsahaiyak-test.1854617.0
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training_args.bin
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