Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use mattchurgin/xls-r-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattchurgin/xls-r-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mattchurgin/xls-r-eng")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mattchurgin/xls-r-eng") model = AutoModelForCTC.from_pretrained("mattchurgin/xls-r-eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
148cffc
1
Parent(s): 0629305
update model card README.md
Browse files
README.md
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@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1.0
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- mixed_precision_training: Native AMP
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### Training results
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