Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
en-asr-leaderboard
Generated from Trainer
Instructions to use mn367/whisper-medium-2hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mn367/whisper-medium-2hr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mn367/whisper-medium-2hr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mn367/whisper-medium-2hr") model = AutoModelForSpeechSeq2Seq.from_pretrained("mn367/whisper-medium-2hr") - 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 sha256:645a622e058ab755c721c3fb242225410d7947b2c281ebc41b2518e6888d884a
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size 3055544304
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