Task
Question Answering
R
deepset/roberta-base-squad2
Question Answering·deepset· 503.9K· 948
transformers
cc-by-4.0
dataset:squad_v2base_model:FacebookAI/roberta-basebase_model:finetune:FacebookAI/roberta-base
This is the roberta-base model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Extractive Question Answering. We have also released a distilled version of this model called deepset/tinyroberta-squad2. It has a comparable prediction quality and runs at twice the speed of deepset/roberta-base-squad2.
# pull & run locally
pip install mlforge-sdk && mlforge pull deepset/roberta-base-squad2
pip install mlforge-sdk && mlforge pull deepset/roberta-base-squad2
Model details
Provider
deepset
Framework
transformers
Size
3.7 GB
License
cc-by-4.0
Downloads
503.9K
Likes
948
Updated
2024-09-24
About deepset/roberta-base-squad2
This is the roberta-base model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Extractive Question Answering. We have also released a distilled version of this model called deepset/tinyroberta-squad2. It has a comparable prediction quality and runs at twice the speed of deepset/roberta-base-squad2.