Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large2-czech-cv11-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large2-czech-cv11-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-large2-czech-cv11-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikr/whisper-large2-czech-cv11-v2") model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-czech-cv11-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9092913a0eaa805fe88c7f807bbe6cd273ebc473258904dbc18d7d7d44f17610
- Size of remote file:
- 4.67 kB
- SHA256:
- 8df01c6a6ee48122dcd1dcb653fb982017a43ad3fc571572348cae80335e6208
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