26 lines
608 B
Python
26 lines
608 B
Python
from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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olmo = AutoModelForCausalLM.from_pretrained(
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"allenai/OLMo-2-1124-7B-hf",
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torch_dtype=torch.float32,
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("allenai/OLMo-2-1124-7B-hf")
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message = ["Honolulu is a "]
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inputs = tokenizer(message, return_tensors='pt', return_token_type_ids=False)
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response = olmo.generate(
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**inputs,
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max_new_tokens=128,
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do_sample=True,
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top_k=50,
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top_p=0.95,
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temperature=0.5
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)
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print(tokenizer.batch_decode(response, skip_special_tokens=True)[0])
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