Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use jcmc/wav2vec2-xls-r-1b-ir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcmc/wav2vec2-xls-r-1b-ir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jcmc/wav2vec2-xls-r-1b-ir")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jcmc/wav2vec2-xls-r-1b-ir") model = AutoModelForCTC.from_pretrained("jcmc/wav2vec2-xls-r-1b-ir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- train_results.json +5 -5
- trainer_state.json +143 -1904
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| 264 |
}
|
| 265 |
],
|
| 266 |
+
"max_steps": 3200,
|
| 267 |
"num_train_epochs": 100,
|
| 268 |
+
"total_flos": 3.685380703950235e+19,
|
| 269 |
"trial_name": null,
|
| 270 |
"trial_params": null
|
| 271 |
}
|