Remove registered_predictor_name from all modelcards where the predictor is the same as the default

CHANGELOG.md

@@ -16,6 +16,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Tests for the VQA metric
 
+### Changed
+
+- Updated `registered_predictor_name` to `null` in model cards for the models where it was the same as the default predictor.
+
 
 ## [v2.3.0](https://github.com/allenai/allennlp-models/releases/tag/v2.3.0) - 2021-04-14
 

allennlp_models/modelcards/mc-roberta-commonsenseqa.json

@@ -1,7 +1,7 @@
 {
     "id": "mc-roberta-commonsenseqa",
     "registered_model_name": "transformer_mc",
-    "registered_predictor_name": "transformer_mc",
+    "registered_predictor_name": null,
     "display_name": "RoBERTa Common Sense QA",
     "task_id": "mc",
     "model_details": {

allennlp_models/modelcards/mc-roberta-piqa.json

@@ -1,7 +1,7 @@
 {
     "id": "mc-roberta-piqa",
     "registered_model_name": "transformer_mc",
-    "registered_predictor_name": "transformer_mc",
+    "registered_predictor_name": null,
     "display_name": "Physical Interaction Question Answering",
     "task_id": "mc",
     "model_details": {

allennlp_models/modelcards/mc-roberta-swag.json

@@ -1,7 +1,7 @@
 {
     "id": "mc-roberta-swag",
     "registered_model_name": "transformer_mc",
-    "registered_predictor_name": "transformer_mc",
+    "registered_predictor_name": null,
     "display_name": "RoBERTa SWAG",
     "task_id": "mc",
     "model_details": {

allennlp_models/modelcards/pair-classification-decomposable-attention-elmo.json

@@ -1,7 +1,7 @@
 {
     "id": "pair-classification-decomposable-attention-elmo",
     "registered_model_name": "decomposable_attention",
-    "registered_predictor_name": "textual_entailment",
+    "registered_predictor_name": null,
     "display_name": "ELMo-based Decomposable Attention",
     "task_id": "textual_entailment",
     "model_details": {

allennlp_models/modelcards/pair-classification-esim.json

@@ -1,7 +1,7 @@
 {
     "id": "pair-classification-esim",
     "registered_model_name": "esim",
-    "registered_predictor_name": "textual_entailment",
+    "registered_predictor_name": null,
     "display_name": "Enhanced LSTM for Natural Language Inference",
     "task_id": "textual_entailment",
     "model_details": {

allennlp_models/modelcards/ve-vilbert.json

@@ -1,7 +1,7 @@
 {
     "id": "ve-vilbert",
-    "registered_model_name": "visual-entailment",
-    "registered_predictor_name": "vilbert_ve",
+    "registered_model_name": "ve_vilbert",
+    "registered_predictor_name": null,
     "display_name": "Visual Entailment",
     "task_id": "ve",
     "model_details": {

allennlp_models/modelcards/vqa-vilbert.json

@@ -1,7 +1,7 @@
 {
     "id": "vqa-vilbert",
     "registered_model_name": "vqa_vilbert",
-    "registered_predictor_name": "vilbert_vqa",
+    "registered_predictor_name": null,
     "display_name": "ViLBERT - Visual Question Answering",
     "task_id": "vqa",
     "model_details": {

allennlp_models/pretrained.py

@@ -19,6 +19,7 @@
 from allennlp_models.rc.models import *  # noqa: F401, F403
 from allennlp_models.structured_prediction.models import *  # noqa: F401, F403
 from allennlp_models.tagging.models import *  # noqa: F401, F403
+from allennlp_models.vision.models import *  # noqa: F401, F403
 
 
 def get_tasks() -> Dict[str, TaskCard]: