Instructions to use facebook/mms-lid-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-lid-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="facebook/mms-lid-256")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("facebook/mms-lid-256") model = AutoModelForAudioClassification.from_pretrained("facebook/mms-lid-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5f51a7a
make style
Browse files- config.json +2 -1
- model.safetensors +3 -0
config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.05,
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"adapter_attn_dim": 16,
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"adapter_kernel_size": 3,
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},
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.05,
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"mask_feature_length": 10,
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{
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"_name_or_path": "mms-lid-256",
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"activation_dropout": 0.05,
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"adapter_attn_dim": 16,
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"adapter_kernel_size": 3,
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},
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"label2id": null,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.05,
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"mask_feature_length": 10,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a946279c9911273085f522d9e4edf2a5f60336a78ee3bf8fa931e5e2283d59df
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size 3865028816
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