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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
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("svjack/bloom-dialogue")
model = AutoModelForCausalLM.from_pretrained("svjack/bloom-dialogue")
tokenizer.decode(
model.generate(
tokenizer.encode(
"你认为今天的天气怎么样？", return_tensors="pt", add_special_tokens=True
), max_length = 128,
num_beams=2,
top_p = 0.95,
top_k = 50,
repetition_penalty = 2.5,
length_penalty=1.0,
early_stopping=True,
)[0],
skip_special_tokens = True
).split("\n-----\n")
'''
['你认为今天的天气怎么样？ ',
' 下午下雨了，不是吗？ ',
' 是的 。 我希望这个周末不会下雨。 ',
' 你为什么这么说 ？ ',
' 好吧，我们本周要下雨了。 ',
' 真的吗 ？ ',
' 是的 。 ',
' 明天天气会很愉快。 顺便说一句，您想在将来做什么？ ',
' 我想成为一名工程师。 ',
' 那不是那么容易吗？ ',
' 是的，我想成为一名工程师。 ',
' 您想要什么样的工作？ ',
' 我需要学习成为一名工程师。 ',
' 您什么时候开始学习？']
'''
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