Automatic Speech Recognition
Transformers
PyTorch
Swedish
wav2vec2
mozilla-foundation/common_voice_9_0
Generated from Trainer
Eval Results (legacy)
Instructions to use marinone94/xls-r-300m-sv-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marinone94/xls-r-300m-sv-robust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marinone94/xls-r-300m-sv-robust")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marinone94/xls-r-300m-sv-robust") model = AutoModelForCTC.from_pretrained("marinone94/xls-r-300m-sv-robust") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.03, | |
| "eval_loss": 155.7938690185547, | |
| "eval_runtime": 55.6971, | |
| "eval_samples": 301, | |
| "eval_samples_per_second": 5.404, | |
| "eval_steps_per_second": 0.682, | |
| "eval_wer": 1.084206116464181, | |
| "train_loss": 93.28157958984374, | |
| "train_runtime": 23.9574, | |
| "train_samples": 704, | |
| "train_samples_per_second": 0.835, | |
| "train_steps_per_second": 0.417 | |
| } |