Add README.md

README.md

@@ -0,0 +1,23 @@
+---
+language: ko
+---
+
+# BERT multilingual basecased finetuned with NSMC
+
+This model is a fine-tune checkpoint of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased), fine-tuned on [NSMC(Naver Sentiment Movie Corpus)](https://github.com/e9t/nsmc).
+
+## Usage
+
+You can use this model directly with a pipeline for sentiment-analysis:
+
+```python
+>>> from transformers import pipeline
+>>> classifier = pipeline(
+    "sentiment-analysis", model="sangrimlee/bert-base-multilingual-cased-nsmc"
+)
+>>> classifier("흠...포스터보고 초딩영화줄....오버연기조차 가볍지 않구나.")
+>>> classifier("액션이 없는데도 재미 있는 몇안되는 영화")
+
+[{'label': 'negative', 'score': 0.9642567038536072}]
+[{'label': 'positive', 'score': 0.9970554113388062}]
+```