Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Finnish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-cv-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-cv-fi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-cv-fi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-cv-fi") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-cv-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 348 Bytes
293ec5f | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"epoch": 19.01,
"eval_loss": 0.30098843574523926,
"eval_runtime": 1383.204,
"eval_samples_per_second": 1.232,
"eval_steps_per_second": 0.039,
"eval_wer": 15.718055032039203,
"train_loss": 0.08742457270808518,
"train_runtime": 16211.9832,
"train_samples_per_second": 3.948,
"train_steps_per_second": 0.062
} |