Question Answering
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
English
roberta
Eval Results (legacy)
Instructions to use deepset/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-base-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): 656ed24
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README.md
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@@ -108,8 +108,7 @@ Malte Pietsch: `malte.pietsch [at] deepset.ai`
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Tanay Soni: `tanay.soni [at] deepset.ai`
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## About us
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We bring NLP to the industry via open source!
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Our focus: Industry specific language models & large scale QA systems.
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