Upload TFDistilBertForSequenceClassification

README.md

@@ -6,12 +6,6 @@ tags:
 model-index:
 - name: news_sentiment_model
   results: []
-widget:
-- text: "At least 100000 civilians, mostly children, were killed in the Gaza Strip this morning as Israeli warplanes bombed."
-  example_title: "Anti-Israel example"
-- text: "Several thousand people demonstrate against antisemitism in Berlin as Germany grapples with a large increase in anti-Jewish incidents following Hamas’s assault on Israel two months ago."
-  example_title: "Pro-Israel example"
-
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should

config.json

@@ -8,7 +8,15 @@
   "dim": 768,
   "dropout": 0.1,
   "hidden_dim": 3072,
+  "id2label": {
+    "0": "Anti-Israel",
+    "1": "Pro-Israel"
+  },
   "initializer_range": 0.02,
+  "label2id": {
+    "Anti-Israel": 0,
+    "Pro-Israel": 1
+  },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
   "n_heads": 12,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0c6a43c77497b86ee7ab2e8312b173018158083e36d1bd10bfe3e5c7ee0ef22d
-size 267951808
+oid sha256:8eb4e6c7626231c640ef794f0e4c902c376a47d8c22160aae81d756c722e486a
+size 267955144