Setup issues fixes (nod-ai#456)

Fixes following setup issues:
nod-ai/AMD-SHARK-ModelDev#919
nod-ai/AMD-SHARK-ModelDev#921

Author: amd-vivekag

alt_e2eshark/onnx_tests/models/external_lists/hf-model-paths/hf-fill-mask-model-list.txt

@@ -47,7 +47,6 @@ pdelobelle/hf_robbert-v2-dutch-base
 facebook/hf_esm2_t6_8M_UR50D
 neuralmind/hf_bert-large-portuguese-cased
 hfl/hf_chinese-roberta-wwm-ext
-sentence-transformers/hf_multi-qa-mpnet-base-cos-v1
 microsoft/hf_codebert-base-mlm
 vinai/hf_phobert-base
 ufal/hf_robeczech-base
@@ -66,7 +65,6 @@ ALINEAR/hf_albert-japanese-v2
 airesearch/hf_wangchanberta-base-att-spm-uncased
 google-bert/hf_bert-base-german-cased
 facebook/hf_esm2_t30_150M_UR50D
-sentence-transformers/hf_all-mpnet-base-v1
 ai4bharat/hf_IndicBERTv2-MLM-only
 dbmdz/hf_bert-base-italian-xxl-cased
 cahya/hf_bert-base-indonesian-1.5G

alt_e2eshark/onnx_tests/models/external_lists/hf-model-paths/hf-multiple-choice-model-list.txt

@@ -12,7 +12,6 @@ irfanamal/hf_distilbert_multiple_choice
 persiannlp/hf_parsbert-base-parsinlu-multiple-choice
 irfanamal/hf_electra_multiple_choice
 VuongQuoc/hf_checkpoints_28_9_microsoft_deberta_V2
-Liberty-L/hf_multiple_choice_model
 VuongQuoc/hf_checkpoints_26_9_microsoft_deberta_21_9
 VuongQuoc/hf_checkpoints_29_9_microsoft_deberta_V1
 irfanamal/hf_bert_science_multiple_choice
@@ -45,13 +44,13 @@ sledz08/hf_finetuned-bert-piqa
 irfanamal/hf_distilbert_science_multiple_choice
 VuongQuoc/hf_checkpoints_28_9_microsoft_deberta_V5
 PaulTran/hf_phobert-base-finetuned
-Liberty-L/hf_Multiple_Choice_EN
 pallie/hf_mcQA_model_bert
-Liberty-L/hf_Multiple_Choice
 paulovsantanas/hf_llm-mdeberta-v3-swag
 Xenopilus/hf_electra-base-multiple-choice-v2
 edwardyeung04/hf_deberta-v3-large_test_9e-6
 reichenbach/hf_bert_base_swag_model
 sontn122/hf_content
 VuongQuoc/hf_checkpoints_28_9_microsoft_deberta_V4
 vuminhtue/hf_LLM
+Liberty-L/hf_Multiple_Choice_swag
+Liberty-L/hf_Multiple_Choice_swag_lr

alt_e2eshark/onnx_tests/models/external_lists/hf-model-paths/hf-sentence-similarity-model-list.txt

@@ -0,0 +1,2 @@
+sentence-transformers/hf_all-mpnet-base-v1
+sentence-transformers/hf_multi-qa-mpnet-base-cos-v1

alt_e2eshark/onnx_tests/models/external_lists/hf-model-shards/hf-fill-mask-shard.txt

@@ -47,7 +47,6 @@ hf_robbert-v2-dutch-base
 hf_esm2_t6_8M_UR50D
 hf_bert-large-portuguese-cased
 hf_chinese-roberta-wwm-ext
-hf_multi-qa-mpnet-base-cos-v1
 hf_codebert-base-mlm
 hf_phobert-base
 hf_robeczech-base
@@ -66,7 +65,6 @@ hf_albert-japanese-v2
 hf_wangchanberta-base-att-spm-uncased
 hf_bert-base-german-cased
 hf_esm2_t30_150M_UR50D
-hf_all-mpnet-base-v1
 hf_IndicBERTv2-MLM-only
 hf_bert-base-italian-xxl-cased
 hf_bert-base-indonesian-1.5G

alt_e2eshark/onnx_tests/models/external_lists/hf-model-shards/hf-multiple-choice-shard.txt

@@ -12,7 +12,6 @@ hf_distilbert_multiple_choice
 hf_parsbert-base-parsinlu-multiple-choice
 hf_electra_multiple_choice
 hf_checkpoints_28_9_microsoft_deberta_V2
-hf_multiple_choice_model
 hf_checkpoints_26_9_microsoft_deberta_21_9
 hf_checkpoints_29_9_microsoft_deberta_V1
 hf_bert_science_multiple_choice
@@ -45,13 +44,13 @@ hf_finetuned-bert-piqa
 hf_distilbert_science_multiple_choice
 hf_checkpoints_28_9_microsoft_deberta_V5
 hf_phobert-base-finetuned
-hf_Multiple_Choice_EN
 hf_mcQA_model_bert
-hf_Multiple_Choice
 hf_llm-mdeberta-v3-swag
 hf_electra-base-multiple-choice-v2
 hf_deberta-v3-large_test_9e-6
 hf_bert_base_swag_model
 hf_content
 hf_checkpoints_28_9_microsoft_deberta_V4
 hf_LLM
+hf_Multiple_Choice_swag
+hf_Multiple_Choice_swag_lr

alt_e2eshark/onnx_tests/models/external_lists/hf-model-shards/hf-sentence-similarity-shard.txt

@@ -0,0 +1,2 @@
+hf_all-mpnet-base-v1
+hf_multi-qa-mpnet-base-cos-v1

alt_e2eshark/onnx_tests/models/hf_models.py

@@ -46,6 +46,7 @@
     "image-segmentation",
     "semantic-segmentation",
     "audio-classification",
+    "sentence-similarity",
 ]
 
 large_models = {
@@ -499,6 +500,7 @@ def setup_test_image(height=224, width=224):
             | "text-generation"
             | "feature-extraction"
             | "fill-mask"
+            | "sentence-similarity"
             | "text-classification"
             | "token-classification"
         ):