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
- Xet hash:
- 189dc4eb9b4cae567bbd279d299da597e4ef67f483436d0fd2d6a1fcafdbe981
- Size of remote file:
- 3.09 GB
- SHA256:
- aa4dc2bd07eb988d35ce32e71acd765ab5ce20b7bc6549d11a9b4d9d0b3a8b91
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