Automatic Speech Recognition
Transformers
TensorBoard
ONNX
Safetensors
whisper
Generated from Trainer
Instructions to use antonvinny/whisper-tiny-anton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antonvinny/whisper-tiny-anton with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="antonvinny/whisper-tiny-anton")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("antonvinny/whisper-tiny-anton") model = AutoModelForSpeechSeq2Seq.from_pretrained("antonvinny/whisper-tiny-anton") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 300e237554feee08987a4e0e7f0a608319ada5fb8a980bcdc7fd45b7a097e974
- Size of remote file:
- 32.9 MB
- SHA256:
- ef611a2dbcf8e0b479856e4ab045a3870d4ae00ab4319eb0aad81c39dfdf6de3
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