Create README.md

README.md

@@ -0,0 +1,25 @@
+## BLEURT
+
+Pytorch version of the original BLEURT models from ACL paper ["BLEURT: Learning Robust Metrics for Text Generation"](https://aclanthology.org/2020.acl-main.704/) by 
+Thibault Sellam, Dipanjan Das and Ankur P. Parikh of Google Research.
+
+The code for model conversion was originated from [this notebook](https://colab.research.google.com/drive/1KsCUkFW45d5_ROSv2aHtXgeBa2Z98r03?usp=sharing) mentioned [here](https://github.com/huggingface/datasets/issues/224).
+
+## Usage Example
+
+```python
+from transformers import BertForSequenceClassification, AutoTokenizer
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("elron/bleurt-large-512")
+model = AutoModelForSequenceClassification.from_pretrained("elron/bleurt-large-512")
+model.eval()
+
+references = ["hello world", "hello world"]
+candidates = ["hi universe", "bye world"]
+
+with torch.no_grad():
+  scores = model(**tokenizer(references, candidates, return_tensors='pt'))[0]
+
+print(scores) # tensor([[0.9877], [0.0475]])
+```