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labhamlet
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gramt-ambisonics

Feature Extraction
Transformers
Safetensors
gramt-ambisonics
audio
spatial
speech
custom_code
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GokseninYuksel commited on
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Update README.md

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@@ -64,7 +64,7 @@ Cls : Break audio clips into non-overlapping 2 second chunks, and return the "[C
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  ~~~python
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  from transformers import AutoModel, AutoFeatureExtractor
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- model = AutoModel.from_pretrained("labhamlet/gramt-ambisnonics", trust_remote_code=True)
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  extractor = AutoFeatureExtractor.from_pretrained("labhamlet/gramt-ambisonics", trust_remote_code=True)
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  audio = torch.zeros([1,4,320000])
 
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  ~~~python
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  from transformers import AutoModel, AutoFeatureExtractor
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+ model = AutoModel.from_pretrained("labhamlet/gramt-ambisonics", trust_remote_code=True)
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  extractor = AutoFeatureExtractor.from_pretrained("labhamlet/gramt-ambisonics", trust_remote_code=True)
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  audio = torch.zeros([1,4,320000])