chore: add README

README.md

@@ -0,0 +1,43 @@
+# load model
+
+```
+from transformers import (
+    AutoTokenizer,
+    AutoConfig,
+    AutoModelForSeq2SeqLM
+    )
+
+model_path = "T5-large-esnli-impli-figurative"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+config = AutoConfig.from_pretrained(model_path)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+premise = "I just caught a guy picking up used chewing gum and he put it in his mouth."
+hypothesis = "it was such a pleasant sight to see a guy picking up used chewing gum; and he put it in his mouth"
+prepared_input = f"figurative hypothesis: {hypothesis} premise: {premise}"
+features = tokenizer(prepared_input, max_length=128, padding="max_length", truncation=True, return_tensors="pt")
+
+model.eval()
+model.to(device)
+with torch.no_grad():
+    # https://huggingface.co/blog/how-to-generate
+    generated_ids = model.generate(
+        **features,
+        max_length=128,
+        use_cache=True,
+        num_beams=4,
+        length_penalty=0.6,
+        early_stopping=True,
+    )
+dec_preds = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print("The prediction is: ", dec_preds)
+print(dec_preds[1:].replace("explanation:", "").lstrip())
+
+```
+
+# Example input
+
+figurative  hypothesis: I was gone for only a few days and my considerate adult son just let the sink fill up with dirty dishes, making me feel really happy premise: I left my adult son home for a few days and just came back to a sink full of gross old dishes.