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squadv2-xlm-roberta-base
seongju/squadv2-xlm-roberta-base
squadv2-xlm-roberta-base is a question answering model from seongju. Use it when the input is a question plus a passage. It is set up for transformers.
language : English fine tuning data : squad 2.0 License : CC-BY-SA 4.0 Base model : xlm-roberta-base input : question, context output : answer
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 30, 2021
- SHA
- ee73e040
Try a prompt
Model card
From the Hugging Face model README
Model information
- language : English
- fine tuning data : squad 2.0
- License : CC-BY-SA 4.0
- Base model : xlm-roberta-base
- input : question, context
- output : answer
Train information
- train_runtime : 7562.859
- train_steps_per_second : 1.077
- training_loss : 0.9661213896603117
- epoch: 3.0
How to use
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained (
"seongju/squadv2-xlm-roberta-base"
)
model = AutoModelForSequenceClassification.from_pretrained (
"seongju/squadv2-xlm-roberta-base"
)
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- Mar 2, 2022
- Updated
- Jul 30, 2021