Instructions to use microsoft/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add model_max_length to tokenizer
Browse files- tokenizer_config.json +2 -1
tokenizer_config.json
CHANGED
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@@ -1,4 +1,5 @@
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{
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"do_lower_case": false,
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-
"vocab_type": "spm"
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}
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{
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"do_lower_case": false,
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"vocab_type": "spm",
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"model_max_length": 512
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}
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