Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large2-czech-cv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large2-czech-cv11 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")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikr/whisper-large2-czech-cv11") model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-czech-cv11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0925ad223558263d5f018c4db44656a291e19c5a6882e7d2a3c4887d239b5e24
- Size of remote file:
- 6.17 GB
- SHA256:
- 14f43a43d8acccf295c6586e5e420f6babfe14254829a0b8a2330c6352dd1c6d
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