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deberta-v3-large-squad2

Question Answering

deberta-v3-large

Eval Results (legacy)

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by sjrhuschlee - opened Jul 25, 2022

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@@ -34,7 +34,7 @@ This is the [deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large
 ## Overview
-**Language model:** roberta-base
 **Language:** English
 **Downstream-task:** Extractive QA
 **Training data:** SQuAD 2.0
@@ -62,11 +62,10 @@ max_query_length=64
 ### In Haystack
 Haystack is an NLP framework by deepset. You can use this model in a Haystack pipeline to do question answering at scale (over many documents). To load the model in [Haystack](https://github.com/deepset-ai/haystack/):
 ```python
-reader = FARMReader(model_name_or_path="deepset/roberta-base-squad2")
 # or
-reader = TransformersReader(model_name_or_path="deepset/roberta-base-squad2",tokenizer="deepset/roberta-base-squad2")
 ```
-For a complete example of ``roberta-base-squad2`` being used for  Question Answering, check out the [Tutorials in Haystack Documentation](https://haystack.deepset.ai/tutorials/first-qa-system)
 ### In Transformers
 ```python

 ## Overview
+**Language model:** deberta-v3-large
 **Language:** English
 **Downstream-task:** Extractive QA
 **Training data:** SQuAD 2.0
 ### In Haystack
 Haystack is an NLP framework by deepset. You can use this model in a Haystack pipeline to do question answering at scale (over many documents). To load the model in [Haystack](https://github.com/deepset-ai/haystack/):
 ```python
+reader = FARMReader(model_name_or_path="deepset/deberta-v3-large-squad2")
 # or
+reader = TransformersReader(model_name_or_path="deepset/deberta-v3-large-squad2",tokenizer="deepset/deberta-v3-large-squad2")
 ```
 ### In Transformers
 ```python