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README.md
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@@ -46,14 +46,6 @@ language:
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- zh
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license: mit
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library_name: transformers
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datasets:
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- fixie-ai/librispeech_asr
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- fixie-ai/common_voice_17_0
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- fixie-ai/peoples_speech
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- fixie-ai/gigaspeech
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- fixie-ai/multilingual_librispeech
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- fixie-ai/wenetspeech
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- fixie-ai/covost2
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metrics:
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- bleu
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pipeline_tag: audio-text-to-text
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import numpy as np
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import librosa
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pipe = transformers.pipeline(model='fixie-ai/ultravox-
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path = "<path-to-input-audio>" # TODO: pass the audio here
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audio, sr = librosa.load(path, sr=16000)
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- zh
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license: mit
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library_name: transformers
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metrics:
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- bleu
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pipeline_tag: audio-text-to-text
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import numpy as np
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import librosa
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pipe = transformers.pipeline(model='fixie-ai/ultravox-v0_5-llama-3_3-70b', trust_remote_code=True)
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path = "<path-to-input-audio>" # TODO: pass the audio here
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audio, sr = librosa.load(path, sr=16000)
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