Feature Extraction
Transformers
Safetensors
moss-audio-tokenizer
audio
audio-tokenizer
neural-codec
moss-tts-family
MOSS Audio Tokenizer
speech-tokenizer
trust-remote-code
custom_code
Instructions to use OpenMOSS-Team/MOSS-Audio-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-Audio-Tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMOSS-Team/MOSS-Audio-Tokenizer", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-Audio-Tokenizer", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
7f33cf5
1
Parent(s): 6741a5e
Fix `auto_map` structure in `config.json`
Browse files- config.json +2 -6
config.json
CHANGED
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@@ -3,12 +3,8 @@
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"MossAudioTokenizerModel"
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],
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"auto_map": {
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"AutoConfig":
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],
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"AutoModel": [
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"modeling_moss_audio_tokenizer.MossAudioTokenizerModel"
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]
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},
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"causal_transformer_context_duration": 10,
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"code_dim": 768,
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"MossAudioTokenizerModel"
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],
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"auto_map": {
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"AutoConfig": "configuration_moss_audio_tokenizer.MossAudioTokenizerConfig",
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"AutoModel": "modeling_moss_audio_tokenizer.MossAudioTokenizerModel"
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},
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"causal_transformer_context_duration": 10,
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"code_dim": 768,
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