Instructions to use asapp/sew-d-tiny-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asapp/sew-d-tiny-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asapp/sew-d-tiny-100k")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("asapp/sew-d-tiny-100k") model = AutoModel.from_pretrained("asapp/sew-d-tiny-100k") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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@@ -90,7 +90,6 @@
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"squeeze_factor": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0",
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"vocab_size": 32,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"tokenizer_class": "Wav2Vec2CTCTokenizer"
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}
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"squeeze_factor": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0",
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"tokenizer_class": "Wav2Vec2CTCTokenizer"
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}
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