Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use juancopi81/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juancopi81/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="juancopi81/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("juancopi81/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("juancopi81/whisper-tiny-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a4d7ec59c2c9efb5399f7db878612753a62292856a415540b84e46d62229a3e
- Size of remote file:
- 4.09 kB
- SHA256:
- d9aedbd7c868235fc09f91ecb1d5cbb402e101d18dac2e157455ab8f835e3b17
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