Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Malayalam
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use thennal/whisper-medium-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thennal/whisper-medium-ml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thennal/whisper-medium-ml")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thennal/whisper-medium-ml") model = AutoModelForSpeechSeq2Seq.from_pretrained("thennal/whisper-medium-ml") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff9b0cc0824e7631e702fa81fe561cb0d18784690036bb29a9f2dddddbb7011d
- Size of remote file:
- 3.64 kB
- SHA256:
- 5bcad4f09e4a7d51733d462dbbfdef31cf3dc675d34fa54971769d8fc0c5d11a
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