Comments (3)
Please use this code for the text generation. make sure you have transformer and torch is installed.
pip install transformers
import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
model = GPT2LMHeadModel.from_pretrained("gpt2")
generated = tokenizer.encode("The Manhattan bridge", return_tensors='pt')
output_sequences = model.generate(
input_ids=generated,
max_length=150,
num_return_sequences=1,
no_repeat_ngram_size=2,
temperature=0.7,
top_k=50,
top_p=0.95,
pad_token_id=tokenizer.eos_token_id
)
text = tokenizer.decode(output_sequences[0], skip_special_tokens=True)
print(text)
Note: You can fine tune the parameters for the best answer specially temperature.
from gpt-llm-trainer.
Thanks for the prompt reply and help let me check
from gpt-llm-trainer.
Its working fine and thanks for help. Although results are not promising.
from gpt-llm-trainer.
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