Automatic Speech Recognition
Transformers
PyTorch
Thai
wav2vec2
audio
hf-asr-leaderboard
robust-speech-event
speech
xlsr-fine-tuning
Eval Results (legacy)
Instructions to use airesearch/wav2vec2-large-xlsr-53-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wav2vec2-large-xlsr-53-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="airesearch/wav2vec2-large-xlsr-53-th")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("airesearch/wav2vec2-large-xlsr-53-th") model = AutoModelForCTC.from_pretrained("airesearch/wav2vec2-large-xlsr-53-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -19,8 +19,8 @@ We finetune [wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-la
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```
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#load pretrained processor and model
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processor = Wav2Vec2Processor.from_pretrained("
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model = Wav2Vec2ForCTC.from_pretrained("
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#function to resample to 16_000
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def speech_file_to_array_fn(batch,
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```
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#load pretrained processor and model
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processor = Wav2Vec2Processor.from_pretrained("airesearch/wav2vec2-large-xlsr-53-th")
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model = Wav2Vec2ForCTC.from_pretrained("airesearch/wav2vec2-large-xlsr-53-th")
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#function to resample to 16_000
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def speech_file_to_array_fn(batch,
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