Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
common_voice
Generated from Trainer
Instructions to use Priyajay/xls-r-ab-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyajay/xls-r-ab-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Priyajay/xls-r-ab-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Priyajay/xls-r-ab-test") model = AutoModelForCTC.from_pretrained("Priyajay/xls-r-ab-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from Priyajay/xls-r-ab-test: direct link, hf CLI and curl.
- Browser
- Download file 597 Bytes
-
https://huggingface.co/Priyajay/xls-r-ab-test/resolve/main/trainer_state.json
- Command line
-
hf download hf://Priyajay/xls-r-ab-test/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Priyajay/xls-r-ab-test/resolve/main/trainer_state.json
597 Bytes
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.9473684210526314, | |
| "global_step": 18, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.95, | |
| "step": 18, | |
| "total_flos": 8641621066752.0, | |
| "train_loss": 167.87285698784723, | |
| "train_runtime": 19.0477, | |
| "train_samples_per_second": 30.66, | |
| "train_steps_per_second": 0.945 | |
| } | |
| ], | |
| "max_steps": 18, | |
| "num_train_epochs": 2, | |
| "total_flos": 8641621066752.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |