Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use lfurman/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfurman/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lfurman/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lfurman/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("lfurman/whisper-tiny-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd953807b91269cacf909b2cfebf6e96a30b72f7cd80fcf9f623a0e52010ed6
- Size of remote file:
- 5.37 kB
- SHA256:
- 2c50c107bfc280308a58f76bc7680faf0da978651008ef6dbda365854c9c9512
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