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app.py

@@ -125,7 +125,8 @@ def sentiment_analysis(
         else:
             client = Client()
             latest_run = client.get_pipeline(
-                "sentinment_analysis_deploy_pipeline"
+                "sentinment_analysis_deploy_pipeline",
+                version=1
             ).runs[0]
             endpoint_name = (
                 latest_run.steps["deploy_hf_to_sagemaker"]

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/tmp/tmpy2y4i3qi/sentinment_analysis_model/model",
+  "_name_or_path": "/tmp/tmp_pmhuqtd/sentinment_analysis_model/model",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -21,7 +21,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
+  "transformers_version": "4.34.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed915719b7eef131898cd0bda38c5dd350caf05ad4729b9cfdf0845529a92527
-size 498659698
+oid sha256:6d9eb4b77e8a05f9c1715c713766312a54947c88f4aca32c844b5cde9d345a3a
+size 498655278