Migrate model card from transformers-repo

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/krevas/finance-koelectra-base-generator/README.md

README.md

@@ -0,0 +1,41 @@
+---
+language: ko
+---
+
+# 📈 Financial Korean ELECTRA model
+
+Pretrained ELECTRA Language Model for Korean (`finance-koelectra-base-generator`)
+
+> ELECTRA is a new method for self-supervised language representation learning. It can be used to
+> pre-train transformer networks using relatively little compute. ELECTRA models are trained to
+> distinguish "real" input tokens vs "fake" input tokens generated by another neural network, similar to
+> the discriminator of a GAN.
+
+More details about ELECTRA can be found in the [ICLR paper](https://openreview.net/forum?id=r1xMH1BtvB)
+or in the [official ELECTRA repository](https://github.com/google-research/electra) on GitHub.
+
+## Stats
+
+The current version of the model is trained on a financial news data of Naver news.
+
+The final training corpus has a size of 25GB and 2.3B tokens.
+
+This model was trained a cased model on a TITAN RTX for 500k steps.
+
+## Usage
+
+```python
+from transformers import pipeline
+
+fill_mask = pipeline(
+            "fill-mask",
+            model="krevas/finance-koelectra-base-generator",
+            tokenizer="krevas/finance-koelectra-base-generator"
+            )
+
+print(fill_mask(f"내일 해당 종목이 대폭 {fill_mask.tokenizer.mask_token}할 것이다."))
+```
+
+# Huggingface model hub
+
+All models are available on the [Huggingface model hub](https://huggingface.co/krevas).