Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Safetensors
English
speech_to_text
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Binarybardakshat/SWRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Binarybardakshat/SWRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Binarybardakshat/SWRA")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Binarybardakshat/SWRA") model = AutoModelForSpeechSeq2Seq.from_pretrained("Binarybardakshat/SWRA") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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- example_title: Librispeech sample 2
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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model-index:
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- name:
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results:
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- task:
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name: Automatic Speech Recognition
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- example_title: Librispeech sample 2
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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model-index:
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- name: s2t-small-librispeech-asr
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results:
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- task:
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name: Automatic Speech Recognition
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