Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use shivam/wav2vec2-xls-r-300m-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivam/wav2vec2-xls-r-300m-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shivam/wav2vec2-xls-r-300m-hindi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("shivam/wav2vec2-xls-r-300m-hindi") model = AutoModelForCTC.from_pretrained("shivam/wav2vec2-xls-r-300m-hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 398 Bytes
7554811 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"epoch": 100.0,
"eval_loss": 1.403089165687561,
"eval_runtime": 58.9107,
"eval_samples": 2095,
"eval_samples_per_second": 35.562,
"eval_steps_per_second": 4.447,
"eval_wer": 0.6826715912588489,
"train_loss": 1.4769830259984853,
"train_runtime": 27582.5281,
"train_samples": 4711,
"train_samples_per_second": 17.08,
"train_steps_per_second": 0.533
} |