|
--- |
|
license: mit |
|
language: |
|
- ru |
|
pipeline_tag: text2text-generation |
|
widget: |
|
- text: '<SC1>- Как тебя зовут?\n- Даша\n- А меня Денис\n- <extra_id_0>' |
|
--- |
|
# Den4ikAI/FRED-T5-XL-chitchat |
|
Болталка на основе FRED-T5-XL. Длина контекста модели 6-8 реплик. |
|
|
|
# Пример использования |
|
```python |
|
import torch |
|
import transformers |
|
|
|
use_cuda = torch.cuda.is_available() |
|
device = torch.device("cuda" if use_cuda else "cpu") |
|
|
|
|
|
t5_tokenizer = transformers.GPT2Tokenizer.from_pretrained("Den4ikAI/FRED-T5-XL-chitchat") |
|
t5_model = transformers.T5ForConditionalGeneration.from_pretrained("Den4ikAI/FRED-T5-XL-chitchat") |
|
|
|
while True: |
|
print('-'*80) |
|
dialog = [] |
|
while True: |
|
msg = input('H:> ').strip() |
|
if len(msg) == 0: |
|
break |
|
|
|
dialog.append('- ' + msg) |
|
dialog.append('- <extra_id_0>') |
|
input_ids = t5_tokenizer('<SC1>'+'\n'.join(dialog), return_tensors='pt').input_ids |
|
out_ids = t5_model.generate(input_ids=input_ids, |
|
max_length=200, |
|
eos_token_id=t5_tokenizer.eos_token_id, |
|
early_stopping=True, |
|
do_sample=True, |
|
temperature=1.0, |
|
top_k=0, |
|
top_p=0.85) |
|
dialog.pop(-1) |
|
t5_output = t5_tokenizer.decode(out_ids[0][1:]).replace('<extra_id_0>','') |
|
if '</s>' in t5_output: |
|
t5_output = t5_output[:t5_output.find('</s>')].strip() |
|
|
|
print('B:> {}'.format(t5_output)) |
|
dialog.append('- '+t5_output) |
|
``` |
|
# Citation |
|
``` |
|
@MISC{Den4ikAI/FRED-T5-XL-chitchat, |
|
author = {Denis Petrov}, |
|
title = {Russian chitchat model}, |
|
url = {https://huggingface.co/Den4ikAI/FRED-T5-XL-chitchat}, |
|
year = 2023 |
|
} |
|
``` |
|
|
