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jordanhagan/DialoGPT-medium-NegaNetizen
DialoGPT-medium-NegaNetizen is a text generation model from jordanhagan. Use it when you need the model to write or continue text. It is set up for transformers.
Trained on conversations from a friend for use within their discord server.
Downloads · 30 days
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From the Hugging Face model README
Trained on conversations from a friend for use within their discord server.
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
model = AutoModelForCausalLM.from_pretrained('jordanhagan/DialoGPT-medium-NegaNetizen')
# Let's chat for 5 lines
for step in range(5):
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=200,
pad_token_id=tokenizer.eos_token_id,
no_repeat_ngram_size=3,
do_sample=True,
top_k=100,
top_p=0.7,
temperature=0.8
)
# pretty print last ouput tokens from bot
print("NNR: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))