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
whisper-large2-czech-cv11 / runs /Dec13_14-12-12_4b942bf2873e /events.out.tfevents.1671205769.4b942bf2873e.3340235.2
- Xet hash:
- c2f0d5303d233e10f4aa674c804d1beb4bc185687cf46544c9d6976ac1af1d54
- Size of remote file:
- 358 Bytes
- SHA256:
- 8b5c0a5a7acc3f1dc407771366f2120763814c71f264f1a50942fbefa53d30c7
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