【bert.cpp:使用4位整型量化来运行BERT神经网络架构的纯C++(或C)实现,使用池化和归一化来生成高质量的句子嵌入】'bert.cpp - ggml inference of BERT neural net architecture with pooling and normalization from SentenceTransformers (sbert.net). High
bert.cpp ggml inference of BERT neural net architecture with pooling and normalization from SentenceTransformers (sbert.net). High quality sentence embeddings in pure C++ (with C API). Description The main goal of bert.cpp is to run the BERT model using 4-bit integer quantization on CPU Plain...
bert.cpp ggml inference of BERT neural net architecture with pooling and normalization from SentenceTransformers (sbert.net). High quality sentence embeddings in pure C++ (with C API). Description The main goal of bert.cpp is to run the BERT model using 4-bit integer quantization on CPU Plain...
bertPlease use the form below if you have any comments, questions, or suggestions. Name: Email: Subject: Message: 请输入验证码: 私人留言 导航C++博客 首页 联系 聚合 管理 统计信息随笔- 1 文章- 0 评论- 0 Trackbacks - 0 常用链接...
// Do we decompose current character? if (!decomposition_len) continue; any_decomposition = true; additional += decomposition_len - 1; } // If needed, allocate enough space and perform the decomposition. if (any_decomposition) { str.resize(str.size() + additional); for (size...
hanbert/faiss 代码 Issues 0 Pull Requests 0 Wiki 统计 流水线 服务 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号? 立即登录 文件 master 克隆/下载 faiss / IndexIVFPQ.cpp IndexIVFPQ.cpp 42.59 KB 一键复制 编辑 原始数据 按行查看 ...
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models CMakeLists.txt convert-to-ggml.py download-ggml.py quantize.cpp run_conversions.sh upload-to-hf.py .gitignore .gitmodules CMakeLists.txt LICENSE Pipfile README.md bert.cpp bert.h build.docker build.sh requirements.txtBreadcrumbs bert.cpp / models/ Directory actions More optionsLatest...
bert_vocab { std::map<std::string, bert_vocab_id> token_to_id; std::map<std::string, bert_vocab_id> subword_token_to_id; std::map<bert_vocab_id, std::string> _id_to_token; std::map<bert_vocab_id, std::string> _id_to_subword_token; }; struct bert_model { bert_hparams ...
ggml implementation of BERT. Contribute to redthing1/bert.cpp development by creating an account on GitHub.