Create README.md

README.md

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+Pretrained K-mHas with multi-label model with "koelectra-v3"
+
+You can use tokenizer of this model with "monologg/koelectra-v3-base-discriminator" (https://huggingface.co/monologg/koelectra-base-v3-discriminator)
+
+label maps are like this.
+>>>
+    {'origin': 0,
+     'physical': 1,
+     'politics': 2,
+     'profanity': 3,
+     'age': 4,
+     'gender': 5,
+     'race': 6,
+     'religion': 7,
+     'not_hate_speech': 8}
+
+You can use label map with below code.
+>
+    
+    from huggingface_hub import hf_hub_download
+
+    repo_id = "JunHwi/kmhas_multilabel"
+
+    filename = "kmhas_dict.pickle" # 위 repo_id에 업로드한 파일 이름
+
+    label_dict = hf_hub_download(repo_id, filename)
+
+    with open(label_dict, "rb") as f:
+        label2num = pickle.load(f)