File size: 1,017 Bytes
67d3233 | 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 36 | import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
device = 'cuda' if torch.cuda.is_available() else 'cpu'
print(f"Using device: {device}")
model = AutoModelForCausalLM.from_pretrained(
"/Users/mcclainthiel/plasmidgpt-addgene-gpt2",
trust_remote_code=True
).to(device)
model.eval()
tokenizer = AutoTokenizer.from_pretrained(
"/Users/mcclainthiel/plasmidgpt-addgene-gpt2",
trust_remote_code=True
)
start_sequence = 'ATGGCTAGCGAATTCGGCGCGCCT'
print(f"Start sequence: {start_sequence}\n")
input_ids = tokenizer.encode(start_sequence, return_tensors='pt').to(device)
outputs = model.generate(
input_ids,
max_length=300,
num_return_sequences=1,
temperature=1.0,
do_sample=True,
pad_token_id=tokenizer.pad_token_id,
eos_token_id=tokenizer.eos_token_id
)
generated_sequence = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(f"Generated sequence:\n{generated_sequence}\n")
print(f"Length: {len(generated_sequence)} bp")
|