Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-fleurs-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-fleurs-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-fleurs-tr", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-fleurs-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-fleurs-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39419c34dd20e36e1bf9eda778cd6db85aa4c604e61f087d340fb9971b064fdf
- Size of remote file:
- 3.58 kB
- SHA256:
- 910118dd1055e996ccdc71ebc73631a6dc942be6c0d265cd331dcee9ef899c77
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