Create README.md

README.md

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+This model is based on a custom Transformer model that can be installed with:
+
+```bash
+pip install git+https://github.com/lucadiliello/bleurt-pytorch.git
+```
+
+Now load the model and make predictions with:
+
+```python
+import torch
+from bleurt_pytorch import BleurtConfig, BleurtForSequenceClassification, BleurtTokenizer
+
+config = BleurtConfig.from_pretrained('lucadiliello/bleurt-tiny-128')
+model = BleurtForSequenceClassification.from_pretrained('lucadiliello/bleurt-tiny-128')
+tokenizer = BleurtTokenizer.from_pretrained('lucadiliello/bleurt-tiny-128')
+
+references = ["a bird chirps by the window", "this is a random sentence"]
+candidates = ["a bird chirps by the window", "this looks like a random sentence"]
+
+model.eval()
+with torch.no_grad():
+    inputs = tokenizer(references, candidates, padding='longest', return_tensors='pt')
+    res = model(**inputs).logits.flatten().tolist()
+print(res)
+# [0.7669461369514465, 0.6060263514518738]
+```
+
+Take a look at this [repository](https://github.com/lucadiliello/bleurt-pytorch) for the definition of `BleurtConfig`, `BleurtForSequenceClassification` and `BleurtTokenizer` in PyTorch.