Instructions to use SameerMahajan/whisper-tiny-retrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SameerMahajan/whisper-tiny-retrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SameerMahajan/whisper-tiny-retrained")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SameerMahajan/whisper-tiny-retrained") model = AutoModelForSpeechSeq2Seq.from_pretrained("SameerMahajan/whisper-tiny-retrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (ea1d4c0a47d6c05e02f645596e694e7c6887f7b2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7147b1b
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Upload tokenizer
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Training in progress, step 100
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initial commit
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