Update README.md

README.md

@@ -11,6 +11,24 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
+# how to use the model
+
+# Load model directly
+`from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("piazzola/test1")
+model = AutoModelForSeq2SeqLM.from_pretrained("piazzola/test1")
+
+sentence = "i left the keys in the car."
+
+with torch.no_grad():
+    inputs = tokenizer([sentence], return_tensors="pt")
+    outputs = model.generate(**inputs)
+    generated_text = tokenizer.decode(outputs[0])
+
+print(generated_text)`
+
 # checkpoint
 
 This model is a fine-tuned version of [google/t5-efficient-base](https://huggingface.co/google/t5-efficient-base) on an unknown dataset.