Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large2-czech-cv11-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large2-czech-cv11-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-large2-czech-cv11-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikr/whisper-large2-czech-cv11-v2") model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-czech-cv11-v2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 21.19, | |
| "eval_loss": 0.2120361328125, | |
| "eval_runtime": 2104.8152, | |
| "eval_samples_per_second": 3.665, | |
| "eval_steps_per_second": 0.458, | |
| "eval_wer": 9.045873924973758 | |
| } |