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") - Inference
- Notebooks
- Google Colab
- Kaggle
Add link to Neuron-optimized version
#33
by badaoui HF Staff - opened
🤖 Neuron Export Bot: Adding link to Neuron-optimized version.
A Neuron-optimized version of this model has been created at badaoui/deepset-roberta-base-squad2-neuron.
The optimized version provides improved performance on AWS Inferentia/Trainium instances with pre-compiled artifacts.
Generated by: badaoui
Generated using: Optimum Neuron Compiler Space