Instructions to use rashmi035/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rashmi035/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rashmi035/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rashmi035/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("rashmi035/whisper-tiny-en") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 900
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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