Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Czech
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-base-cv-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-base-cv-cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-base-cv-cs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-base-cv-cs") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-base-cv-cs") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 21.01, | |
| "train_loss": 0.12548666781038045, | |
| "train_runtime": 85032.7636, | |
| "train_samples_per_second": 3.763, | |
| "train_steps_per_second": 0.059 | |
| } |