Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use navin-kumar-j/whisper-base-en-w-pcd-10-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navin-kumar-j/whisper-base-en-w-pcd-10-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="navin-kumar-j/whisper-base-en-w-pcd-10-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("navin-kumar-j/whisper-base-en-w-pcd-10-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("navin-kumar-j/whisper-base-en-w-pcd-10-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac7f355b10c5b18ab7e8f10c9bc9ca1092ca2ad826a48e1bdf0569d148c143b5
- Size of remote file:
- 290 MB
- SHA256:
- fbc5f8ee2e0bafa4f7ed6e9b6d8ddbeb73ee2aada0ca59d367149f9a9bcd53f6
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