06 2024 档案
摘要:llm的接入: https://blog.csdn.net/orientharp/article/details/139884688 embedding模型的接入: https://inference.readthedocs.io/zh-cn/latest/models/builtin/embedd
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摘要:https://inference.readthedocs.io/zh-cn/latest/models/builtin/llm/glm4-chat.html#model-spec-1-pytorch-9-billion
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摘要:https://zhuanlan.zhihu.com/p/692383624
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摘要:https://blog.csdn.net/sinat_37574187/article/details/137842571
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摘要:import numpy as np def softmax(x, axis=-1): """Softmax函数,用于计算注意力权重""" e_x = np.exp(x - np.max(x, axis=axis, keepdims=True)) return e_x / e_x.sum(axis=
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摘要:https://blog.csdn.net/weixin_38314865/article/details/107568686
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摘要:https://www.cnblogs.com/atuotuo/p/9272368.html
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摘要:https://zhuanlan.zhihu.com/p/390510404
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vqgan的报错问题解决(cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling `cusolverDnCreate(handle))
摘要:https://github.com/nerdyrodent/VQGAN-CLIP/issues/164
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摘要:https://zhuanlan.zhihu.com/p/658731447
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摘要:https://zhuanlan.zhihu.com/p/646080311?utm_id=0
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摘要:https://zhuanlan.zhihu.com/p/78171223
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