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 /1671407791.2296305 /events.out.tfevents.1671407791.129-146-123-136.1701007.1
- Xet hash:
- 2a46eefd2e822f408ee3f2dc457c2b3185f8824af5a5cfe4fc0fbb0c3dbdbc7c
- Size of remote file:
- 5.88 kB
- SHA256:
- 796170f8cd9bdfbe7885a2092fdf956082a54b9ce1630fa4dec6ed9e7f0098b8
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