Update README.md

README.md

@@ -32,6 +32,34 @@ This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingfac
 It achieves the following results on the evaluation set:
 - Loss: 0.8742
 
+
+## Example of usage
+
+```py
+import torch
+from transformers import BloomTokenizerFast, BloomForCausalLM
+
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+ckpt = 'mrm8488/bloom-560m-finetuned-sd-prompts' 
+
+tokenizer = BloomTokenizerFast.from_pretrained(ckpt)
+model = BloomForCausalLM.from_pretrained(ckpt).to(device)
+
+def generate_prompt(text):
+    inputs = tokenizer(text, return_tensors='pt')
+    input_ids = inputs.input_ids.to("cuda")
+    attention_mask = inputs.attention_mask.to("cuda")
+    output = model.generate(input_ids, attention_mask=attention_mask, max_length=2048, eos_token_id=tokenizer.eos_token_id) # num_beams=3, temperature=1.9
+
+    return tokenizer.decode(output[0], skip_special_tokens=False)
+    
+text = "<s>Prompt: pikachu dinning in the eiffel tower"
+
+generate_prompt(text)
+
+# Output: <s>Prompt: pikachu dinning in the eiffel tower, intricate, elegant, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha</s>
+```
+
 ## Model description
 
 More information needed