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)# pip install -U transformers accelerate # 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 +0 -1
config.json
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@@ -10,7 +10,6 @@
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"max_edus_per_dialog": 100,
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"max_position_embeddings": 512,
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"max_speakers": 200,
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"model_type": "saute",
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"num_attention_heads": 1,
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"num_edu_layers": 2,
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"num_hidden_layers": 1,
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"max_edus_per_dialog": 100,
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"max_position_embeddings": 512,
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"max_speakers": 200,
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"num_attention_heads": 1,
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"num_edu_layers": 2,
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"num_hidden_layers": 1,
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