(1)、通过gpt2运行Python脚本示例 代码地址:https://github.com/LowinLi/transformers-stream-generator/blob/main/example/run.py (2)、通过gpt2运行Web示例,并在客户端示例中进行测试 代码地址:https://github.com/LowinLi/transformers-stream-generator/blob/main/example/run_web.py...
This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers. - LowinLi/transformers-stream-generator
>>> from transformers import pipeline >>> music_generator = pipeline(task="text-to-audio", model="facebook/musicgen-small", framework="pt") >>> # diversify the music generation by adding randomness with a high temperature and set a maximum music length >>> generate_kwargs = { ... "...
(1)、通过gpt2运行Python脚本示例 代码地址:https://github.com/LowinLi/transformers-stream-generator/blob/main/example/run.py (2)、通过gpt2运行Web示例,并在客户端示例中进行测试 代码地址:https://github.com/LowinLi/transformers-stream-generator/blob/main/example/run_web.py...
>>> generator = pipeline(task="text-generation") >>> generator(prompt) # doctest: +SKIP 掩码:模型的目标是在完全访问序列中的标记的情况下预测序列中的掩码标记 代码语言:javascript 复制 >>> text = "Hugging Face is a community-based open-source <mask> for machine learning." >>> fill_mask ...
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