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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dce6921e8533eec563f7f2d85d90d0413d65d6b5573f24d91bed8adbc0084249
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size 151061728
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