Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hungarian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large2-hu-cv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large2-hu-cv11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-large2-hu-cv11")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikr/whisper-large2-hu-cv11") model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-hu-cv11") - Notebooks
- Google Colab
- Kaggle
whisper-large2-hu-cv11 / runs /Dec18_23-21-30_129-146-123-136 /events.out.tfevents.1671407791.129-146-123-136.1701007.0
- Xet hash:
- 81f6b04b6dc620aacb9cb3dbf4a7850b9d75763ede122daa76e3279b61f5db50
- Size of remote file:
- 37.6 kB
- SHA256:
- e5ab7d6f2245124021d2524cec318217a410cc12580935f564208ccf36be80cc
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