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0975e0c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | import torch
from pathlib import Path
from transformers import AutoTokenizer, AutoModelForCausalLM
MODEL = str(Path(__file__).resolve().parent)
tokenizer = AutoTokenizer.from_pretrained(MODEL, trust_remote_code=True)
dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
kwargs = {
"trust_remote_code": True,
"dtype": dtype,
}
if torch.cuda.is_available():
kwargs["device_map"] = "auto"
model = AutoModelForCausalLM.from_pretrained(MODEL, **kwargs)
model.eval()
prompt = "The most important reason the sky appears blue is"
inputs = tokenizer(prompt, return_tensors="pt")
inputs = {k: v.to(model.device) for k, v in inputs.items()}
with torch.inference_mode():
out = model.generate(
**inputs,
max_new_tokens=32,
do_sample=True,
temperature=0.8,
top_p=0.95,
use_cache=False,
)
print(tokenizer.decode(out[0], skip_special_tokens=True))
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