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README.md
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blurb
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<center><img src="k2_chat_eval_table.png" alt="k2 eval table" /></center>
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blurb
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<center><img src="k2_chat_eval_table.png" alt="k2 eval table" /></center>
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## Loading K2-Chat
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# Loading K2
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("LLM360/K2-Chat")
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model = AutoModelForCausalLM.from_pretrained("LLM360/K2-Chat")
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prompt = 'hi how are you doing'
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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gen_tokens = model.generate(input_ids, do_sample=True, max_length=128)
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print("-"*20 + "Output for model" + 20 * '-')
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print(tokenizer.batch_decode(gen_tokens)[0])
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```
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