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README.md

@@ -37,9 +37,9 @@ pipe = TextClassificationPipeline(
     function_to_apply = 'sigmoid'
 )
 
-for result in pipe("이딴 게임할 거면 방송 그만해라 어휴")[0]:
+for result in pipe("그렇게 게임하면 어떡하냐 방송 접어라 허접아")[0]:
     print(result)
 
-{'label': 'hate', 'score': 0.7051385641098022}
-{'label': 'clean', 'score': 0.29405009746551514}
+{'label': 'hate', 'score': 0.9767946600914001}
+{'label': 'clean', 'score': 0.023970650508999825}
 ```

config.json

@@ -33,7 +33,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.35.2",
+  "transformers_version": "4.36.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30000

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85ce0e917f6d73860dd1a5301da9b0157a08d41950d47b55740de879aa56501c
+oid sha256:7ba25b2cfd70ef6c979c96a7f58bc06ec01321b6dcc5eff76ab205839346c699
 size 435703792

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f72b4fef95a6c1a3f8e070ae79381dcabe1cd776d00a576ebd4706819d6a868
-size 4600
+oid sha256:7c361bcd83c76cb107f7b2f45bc5aecedd81f076cd67845de4c6ecfc3eac1313
+size 4728