Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Marathi
wav2vec2
mozilla-foundation/common_voice_8_0
robust-speech-event
Generated from Trainer
hf-asr-leaderboard
Instructions to use StephennFernandes/XLS-R-marathi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StephennFernandes/XLS-R-marathi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="StephennFernandes/XLS-R-marathi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("StephennFernandes/XLS-R-marathi") model = AutoModelForCTC.from_pretrained("StephennFernandes/XLS-R-marathi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 190 Bytes
87d33bd | 1 2 3 4 5 6 7 8 | {
"eval_loss": 19.87865447998047,
"eval_runtime": 132.1914,
"eval_samples": 4319,
"eval_samples_per_second": 32.672,
"eval_steps_per_second": 4.085,
"eval_wer": 1.0
} |