Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use pere/xls-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/xls-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pere/xls-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pere/xls-test") model = AutoModelForCTC.from_pretrained("pere/xls-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from pere/xls-test: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
-
https://huggingface.co/pere/xls-test/resolve/main/all_results.json
- Command line
-
hf download hf://pere/xls-test/all_results.json
-
curl -L -o all_results.json https://huggingface.co/pere/xls-test/resolve/main/all_results.json
391 Bytes
| { | |
| "epoch": 0.03, | |
| "eval_loss": 156.87892150878906, | |
| "eval_runtime": 10.5213, | |
| "eval_samples": 301, | |
| "eval_samples_per_second": 28.609, | |
| "eval_steps_per_second": 3.612, | |
| "eval_wer": 1.3456221198156681, | |
| "train_loss": 94.46571044921875, | |
| "train_runtime": 5.7606, | |
| "train_samples": 704, | |
| "train_samples_per_second": 3.472, | |
| "train_steps_per_second": 1.736 | |
| } |