Instructions to use SamagraDataGov/whisper-tiny-hindi3_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/whisper-tiny-hindi3_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/whisper-tiny-hindi3_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/whisper-tiny-hindi3_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/whisper-tiny-hindi3_test") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 80
Browse files
pytorch_model.bin
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runs/Jul09_15-07-54_bharatsahaiyak-test/events.out.tfevents.1720537674.bharatsahaiyak-test.372974.2
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