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:
- 83a3499b17175e21deb08c86541b2612638f38f1a4bd756c1a9e553c815522d2
- Size of remote file:
- 3.09 GB
- SHA256:
- 0d745968c412da9bc113cddbf19c5ec4b4d3eccb04366c369874f720414d7357
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