Instructions to use reach-vb/vits-init-mms-config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reach-vb/vits-init-mms-config with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("reach-vb/vits-init-mms-config") model = AutoModelForPreTraining.from_pretrained("reach-vb/vits-init-mms-config", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
#1
by ylacombe - opened
- config.json +1 -1
- preprocessor_config.json +1 -1
config.json
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@@ -77,7 +77,7 @@
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7,
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11
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],
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"sampling_rate":
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"segment_size": 8192,
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"speaker_embedding_size": 0,
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"speaking_rate": 1.0,
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7,
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11
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],
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"sampling_rate": 24000,
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"segment_size": 8192,
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"speaker_embedding_size": 0,
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"speaking_rate": 1.0,
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preprocessor_config.json
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@@ -7,6 +7,6 @@
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate":
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"spec_gain": 1
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}
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 24000,
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"spec_gain": 1
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}
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