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.1671474023.129-146-123-136.1701007.2
- Xet hash:
- ee8abbaf2ad8a6e5b90ddcb4c4b0f4dd2f472b83a76e96d5937eac51f8ca72ca
- Size of remote file:
- 358 Bytes
- SHA256:
- 3c8f0d93276bc7f7472eef30404216c3e3d2c0f00f3bbb539259c8b654508127
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