Instructions to use microsoft/deberta-v2-xxlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xxlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v2-xxlarge")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v2-xxlarge", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adds tokenizer_config.json file
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Add task to enable widget (#1)
- Add task to enable widget (c88aa6047939971f7566f6bc3213dba008a6fb9f) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>38f115b
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Add TF checkpoint
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Update README.md
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Update deepspeed config
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Update README.md
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Add DeBERTa v2 XXLarge(1.5B) model
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DeBERTa v2 XXLarge(1.5B) model
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initial commit
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