Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
English
wav2vec2
phoneme-recognition
Generated from Trainer
Eval Results (legacy)
Instructions to use bookbot/wav2vec2-ljspeech-gruut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bookbot/wav2vec2-ljspeech-gruut with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bookbot/wav2vec2-ljspeech-gruut")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bookbot/wav2vec2-ljspeech-gruut") model = AutoModelForCTC.from_pretrained("bookbot/wav2vec2-ljspeech-gruut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
all_results.json
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{
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"eval_wer": 0.009874807524938073,
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"train_samples_per_second": 16.737,
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"train_steps_per_second": 0.523
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}
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runs/Jan09_00-52-51_bookbot-pt-2/events.out.tfevents.1673247932.bookbot-pt-2.11380.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:34526f92343e7f064272517b81b1d32ffc5ab2b0ff0918f8c85980959b85b030
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size 405
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test_results.json
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}
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train_results.json
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trainer_state.json
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