Automatic Speech Recognition
Transformers
PyTorch
Urdu
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use Maniac/wav2vec2-xls-r-60-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maniac/wav2vec2-xls-r-60-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Maniac/wav2vec2-xls-r-60-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Maniac/wav2vec2-xls-r-60-urdu") model = AutoModelForCTC.from_pretrained("Maniac/wav2vec2-xls-r-60-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 666.67, | |
| "eval_loss": 3.8433420658111572, | |
| "eval_runtime": 5.4398, | |
| "eval_samples": 142, | |
| "eval_samples_per_second": 26.104, | |
| "eval_steps_per_second": 3.309, | |
| "eval_wer": 0.985178727114211 | |
| } |