Instructions to use microsoft/deberta-xlarge-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-xlarge-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-xlarge-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Pengcheng He commited on
Commit ·
b2a877b
1
Parent(s): d21e12b
DeBERTa V2 XLarge 900M model
Browse files- config.json +0 -1
config.json
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"num_attention_heads": 24,
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"attention_head_size": 64,
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"num_hidden_layers": 24,
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"self_attention_type": "dense_att",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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"num_attention_heads": 24,
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"attention_head_size": 64,
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"num_hidden_layers": 24,
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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