Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-large2-czech-cv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-large2-czech-cv11 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")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikr/whisper-large2-czech-cv11") model = AutoModelForMultimodalLM.from_pretrained("mikr/whisper-large2-czech-cv11") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
215c406 | 1 2 3 4 5 6 7 8 | {
"epoch": 21.28,
"eval_loss": 0.20616495609283447,
"eval_runtime": 12766.4075,
"eval_samples_per_second": 0.604,
"eval_steps_per_second": 0.076,
"eval_wer": 9.032982817995986
} |