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1from transformers import AutoTokenizer, AutoModelForCausalLM
2import transformers
3import torch
4
5model = "Terry0320/Kestrel"
6
7tokenizer = AutoTokenizer.from_pretrained(model)
8model = AutoModelForCausalLM.from_pretrained(model, trust_remote_code=True)
9pipeline = transformers.pipeline(
10 "text-generation",
11 model=model,
12 tokenizer=tokenizer,
13 torch_dtype=torch.bfloat16,
14 trust_remote_code=True,
15 device_map="auto",
16)
17sequences = pipeline(
18 "Generelativa is obsessed with general relativity and believes that it is the greatest theory in the world. He thinks that any other theory, including special relativity, is simply not worth mentioning.\nHoward: Hello, Generelativa!\nGenerelativa:",
19 max_length=200,
20 do_sample=True,
21 top_k=10,
22 num_return_sequences=1,
23 eos_token_id=tokenizer.eos_token_id,
24)
25for seq in sequences:
26 print(f"Result: {seq['generated_text']}")