Instructions to use Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99909a541a562727088131ffb70cde3fe2b79e0c54c2e08f27722a4373a4ead3
- Size of remote file:
- 967 MB
- SHA256:
- 743adb5799287aa29faf87205328671fbc605db1dd1c0d4765f20094aa73fd20
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