ahxt
/

LiteLlama-460M-1T

Text Generation

llama2 architecture

text-generation-inference

Inference Endpoints

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Update README.md

#3

by Tonic - opened Jan 7

base: refs/heads/main

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from: refs/pr/3

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@@ -44,7 +44,7 @@ model.eval()
 prompt = 'Q: What is the largest bird?\nA:'
 input_ids = tokenizer(prompt, return_tensors="pt").input_ids
-tokens = model.generate(input_ids, max_length=20)
 print( tokenizer.decode(tokens[0].tolist(), skip_special_tokens=True) )
 # Q: What is the largest bird?\nA: The largest bird is a black-headed gull.
 ```

 prompt = 'Q: What is the largest bird?\nA:'
 input_ids = tokenizer(prompt, return_tensors="pt").input_ids
+tokens = model.generate(input_ids, max_length=22)
 print( tokenizer.decode(tokens[0].tolist(), skip_special_tokens=True) )
 # Q: What is the largest bird?\nA: The largest bird is a black-headed gull.
 ```