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spuun/kek
kek is a machine learning model from spuun. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
--- A customized DialoGPT model designed for personal use. Usage is the same with DialoGPT.
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Updated Jun 6, 2021
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From the Hugging Face model README
A customized DialoGPT model designed for personal use. Usage is the same with DialoGPT.
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tokenizer = AutoTokenizer.from_pretrained("spuun/kek")
model = AutoModelForCausalLM.from_pretrained("spuun/kek")
# Let's chat for 5 lines
for step in range(5):
# encode the new user input, add the eos_token and return a tensor in Pytorch
new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
# append the new user input tokens to the chat history
bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
# generated a response while limiting the total chat history to 1000 tokens,
chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
# pretty print last ouput tokens from bot
print("DialoGPT: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))