Add adapted model

README.md

@@ -8,6 +8,9 @@ license: apache-2.0
 This model contains the converted PyTorch checkpoint of the original Tensorflow model available in the [TaPas repository](https://github.com/google-research/tapas/blob/master/DENSE_TABLE_RETRIEVER.md#reader-models).
 It is described in Herzig et al.'s (2021) [paper](https://aclanthology.org/2021.naacl-main.43/) _Open Domain Question Answering over Tables via Dense Retrieval_.
 
+This model has 2 versions which can be used differing only in the table scoring head.
+The default one has an adapted table scoring head in order to be able to generate probabilities out of the logits.
+The other (non-default) version corredponds to the original checkpoint from the TaPas repository and can be accessed setting `revision="original"`.
 
 # Usage
 ## In Haystack

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d9b7c65217e5100933fc3f740ca4299517aca14a6f64d2b58e34f5f8be0e64c
-size 1347084063
+oid sha256:2a9b532c0096d45ea49b4268020491d7baf386a4dd555eb0192be9f6b62bd22c
+size 1347080931