Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use maag/whisper_tiny_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maag/whisper_tiny_cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maag/whisper_tiny_cs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maag/whisper_tiny_cs") model = AutoModelForSpeechSeq2Seq.from_pretrained("maag/whisper_tiny_cs") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
pytorch_model.bin
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runs/Aug18_11-06-28_gpu01/events.out.tfevents.1692356807.gpu01.32237.0
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