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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:72042c8077a9856fed274503433a4545706b3b0b5bc1ba987627982978e08e95
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size 3055544304
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