Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Czech
whisper
whisper-event
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large-czech-cv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large-czech-cv11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-large-czech-cv11")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mikr/whisper-large-czech-cv11") model = AutoModelForSpeechSeq2Seq.from_pretrained("mikr/whisper-large-czech-cv11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30ea0b38ee3b14b16a42a3878f896466ae031e61278d4ce239e0edca8ab6a962
- Size of remote file:
- 6.17 GB
- SHA256:
- 9fc9ed13dbe48d5a42d77ffa5977beaa5c9f98f5af13f52803b2c90e841ff828
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