Fill-Mask
Transformers
Safetensors
PyTorch
English
saute
feature-extraction
masked-language-modeling
dialogue
speaker-aware
transformer
custom_code
Instructions to use JustinDuc/saute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustinDuc/saute with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JustinDuc/saute", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JustinDuc/saute", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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],
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"attention_probs_dropout_prob": 0.1,
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"auto_map": {
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"AutoConfig": "
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"AutoModel": "
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},
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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],
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"attention_probs_dropout_prob": 0.1,
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"auto_map": {
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"AutoConfig": "saute_config.SAUTEConfig",
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"AutoModel": "saute_model.UtteranceEmbedings"
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},
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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