Update README.md

README.md

@@ -60,13 +60,19 @@ In particular, the model was evaluated on some categories of gender biases, prop
 
 Use the code below to get started with the model.
 
+Here's how you can run the model using the `pipeline()` function from 🤗 Transformers:
+
 ```python
+import torch
 from transformers import pipeline
 
-pipe = pipeline("text-generation", model="HuggingFaceH4/starchat-alpha")
-# Inputs use chat tokens 
-inputs = "<|system|>\n<|end|>\n<|user|>How can I sort a list in Python?<|end|>\n<|assistant|>"
-outputs = pipe(inputs)
+pipe = pipeline("text-generation", model="HuggingFaceH4/starchat-alpha", torch_dtype=torch.bfloat16, device_map="auto")
+
+prompt_template = "<|system|>\n<|end|>\n<|user|>\n{query}<|end|>\n<|assistant|>"
+prompt = prompt_template.format(query="How do I sort a list in Python?")
+# We use a special <|end|> token with ID 49155 to denote ends of a turn
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.2, top_k=50, top_p=0.95, eos_token_id=49155)
+# You can sort a list in Python by using the sort() method. Here's an example:\n\n```\nnumbers = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]\nnumbers.sort()\nprint(numbers)\n```\n\nThis will sort the list in place and print the sorted list.
 ```