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")# 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") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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datasets:
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- common_voice
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tags:
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- robust-speech-event
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- audio
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- speech
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- hf-asr-leaderboard
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- automatic-speech-recognition
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- xlsr-fine-tuning
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license: cc-by-sa-4.0
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model-index:
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datasets:
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- common_voice
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tags:
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- audio
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- automatic-speech-recognition
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- hf-asr-leaderboard
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- robust-speech-event
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- speech
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- xlsr-fine-tuning
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license: cc-by-sa-4.0
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model-index:
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