YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Модель ruT5-base была fine-tuned для задачи text-to-text, предназначенная для Russian текст.
Uses
from transformers import AutoTokenizer, T5ForConditionalGeneration
chat_checkpoint = 'r1char9/T5_chat'
chat_model = T5ForConditionalGeneration.from_pretrained(chat_checkpoint)
chat_tokenizer = AutoTokenizer.from_pretrained(chat_checkpoint)
text='Что самое главное в человеке ?'
def chat_fun(self, text: str):
tokenized_sentence = self.chat_tokenizer(text, return_tensors='pt', truncation=True)
res = self.chat_model.generate(**tokenized_sentence, num_beams=2, max_length=100)
return self.chat_tokenizer.decode(res[0], skip_special_tokens=True)
text = chat_fun(text=text)
# Самое главное в человеке - это его любовь и уважение к другим людям.
# Это означает, что он должен быть искренним и искренним в своих мыслях и чувствах,
# а также готов жертвовать своим личным и профессиональным идеалами и ценностям, чтобы достичь своих целей.
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