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/NlpHUST/vibert4news-base-cased/README.md

README.md

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+---
+language: vn
+---
+# BERT for Vietnamese is trained on more 20 GB news dataset
+
+Apply for task sentiment analysis on using [AIViVN's comments dataset](https://www.aivivn.com/contests/6)
+
+The model achieved 0.90268 on the public leaderboard, (winner's score is 0.90087)
+Bert4news is used for a toolkit Vietnames(segmentation and Named Entity Recognition) at ViNLPtoolkit(https://github.com/bino282/ViNLP)
+
+***************New Mar 11 , 2020 ***************
+
+**[BERT](https://github.com/google-research/bert)** (from Google Research and the Toyota Technological Institute at Chicago) released with the paper [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805).
+
+We use word sentencepiece, use basic bert tokenization and same config with bert base with lowercase = False.
+
+You can download trained model:
+- [tensorflow](https://drive.google.com/file/d/1X-sRDYf7moS_h61J3L79NkMVGHP-P-k5/view?usp=sharing).
+- [pytorch](https://drive.google.com/file/d/11aFSTpYIurn-oI2XpAmcCTccB_AonMOu/view?usp=sharing).
+
+Use with huggingface/transformers
+``` bash
+import torch
+from transformers import AutoTokenizer,AutoModel
+tokenizer= AutoTokenizer.from_pretrained("NlpHUST/vibert4news-base-cased")
+bert_model = AutoModel.from_pretrained("NlpHUST/vibert4news-base-cased")
+
+line = "Tôi là sinh viên trường Bách Khoa Hà Nội ."
+input_id = tokenizer.encode(line,add_special_tokens = True)
+att_mask = [int(token_id > 0) for token_id in input_id]
+input_ids = torch.tensor([input_id])
+att_masks = torch.tensor([att_mask])
+with torch.no_grad():
+    features = bert_model(input_ids,att_masks)
+
+print(features)
+
+```
+
+Run training with base config
+
+``` bash
+
+python train_pytorch.py \
+  --model_path=bert4news.pytorch \
+  --max_len=200 \
+  --batch_size=16 \
+  --epochs=6 \
+  --lr=2e-5
+
+```
+
+### Contact information
+For personal communication related to this project, please contact Nha Nguyen Van (nha282@gmail.com).
+