Update README.md

README.md

@@ -31,7 +31,7 @@ import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig, GemmaTokenizer
 
 
-model_id = ""
+model_id = "cocaho/outputs"
 bnb_config = BitsAndBytesConfig(
     load_in_4bit=True,
     bnb_4bit_quant_type="nf4",
@@ -41,12 +41,15 @@ bnb_config = BitsAndBytesConfig(
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, device_map={"":0})
 
-text = "sociology is "
+text = "sociological imagination is "
 device = "cuda:0"
 inputs = tokenizer(text, return_tensors="pt").to(device)
 
 outputs = model.generate(**inputs, max_new_tokens=60)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+# Output: sociological imagination is <strong>the ability to see the relationship between personal troubles and public issues
+
 ```
 
 ## Intended uses & limitations