Question Answering
Transformers
PyTorch
Safetensors
English
deberta-v2
deberta
deberta-v3
Eval Results (legacy)
Instructions to use deepset/deberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/deberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/deberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/deberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/deberta-v3-base-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit 路
a602180
1
Parent(s): 4a0e5e6
Update README.md
Browse files
README.md
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@@ -32,6 +32,6 @@ max_seq_len = 512
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learning_rate = 2e-5
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lr_schedule = LinearWarmup
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warmup_proportion = 0.2
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doc_stride=128
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max_query_length=64
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```
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learning_rate = 2e-5
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lr_schedule = LinearWarmup
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warmup_proportion = 0.2
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doc_stride = 128
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max_query_length = 64
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```
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