GPT-S-5M / usage.py
Datdanboi25's picture
Update readme, bf16 tensors
cc4427d
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_name = "AxiomicLabs/GPT-S-5M"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
model_name,
trust_remote_code=True,
torch_dtype=torch.bfloat16,
device_map="auto",
)
prompt = "The future of AI is"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.inference_mode():
output = model.generate(
**inputs,
max_new_tokens=120,
do_sample=True,
temperature=0.8,
top_p=0.95,
repetition_penalty=1.1,
no_repeat_ngram_size=4,
)
text = tokenizer.decode(output[0], skip_special_tokens=True)
print(text)