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
File size: 134 Bytes
e09df91 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ac5db66fdcfecb400345d09787b71009d60805ef9883451071669cf951b5e2c7
size 496254442
|