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", device_map="auto")# 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 170 Bytes
3366f8c | 1 2 3 4 5 6 7 | {
"epoch": 21.01,
"train_loss": 0.12548666781038045,
"train_runtime": 85032.7636,
"train_samples_per_second": 3.763,
"train_steps_per_second": 0.059
} |