Automatic Speech Recognition
Transformers
Safetensors
lite-whisper
feature-extraction
audio
whisper
hf-asr-leaderboard
custom_code
Instructions to use efficient-speech/lite-whisper-small-acc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efficient-speech/lite-whisper-small-acc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="efficient-speech/lite-whisper-small-acc", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("efficient-speech/lite-whisper-small-acc", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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base_model: openai/whisper-
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library_name: transformers
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license: apache-2.0
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pipeline_tag: automatic-speech-recognition
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base_model: openai/whisper-small
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library_name: transformers
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license: apache-2.0
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pipeline_tag: automatic-speech-recognition
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