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chat-t5
zhaochaofeng/chat-t5
chat-t5 is a machine learning model from zhaochaofeng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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753 MB on disk
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.safetensors751 MB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- 058886b3
Model card
From the Hugging Face model README
T5中文对话模型
快速使用
from transformers import AutoTokenizer
from transformers import AutoModelForSeq2SeqLM
model = 'zhaochaofeng/chat-t5'
tokenizer = AutoTokenizer.from_pretrained(model)
model = AutoModelForSeq2SeqLM.from_pretrained(model)
txt = '请介绍一下什么是机器学习'
inputs = tokenizer(text=txt, return_tensors='pt')
outputs = model.generate(inputs=inputs.input_ids, max_new_tokens=300, do_sample=True)
res = tokenizer.batch_decode(sequences=outputs, skip_special_tokens=True)
print(res)
- Library
- transformers
- Type
- t5
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024