(base) ailearn@gpts:/data/sdd/models$ docker pull ghcr.io/huggingface/text-embeddings-inference:1.5 02.启动容器 (base) ailearn@gpts:~$ docker rm -f bge_6011 ; docker run --name bge_6011 -d -p 6011:80 --gpus '"device=0"' -v /data/sdd/models:/data ghcr.io/huggingface/text-...
1cdtext-generation-inference2git clone https://github.com/huggingface/text-generation-inference.git3cdtext-generation-inference4# 将使用tag v2.4.0构建5git checkout -b tobuild v2.4.067exportPIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple8BUILD_EXTENSIONS=True make install -j4 注意 在某些机...
文本嵌入模型的高速推理解决方案 - GitHub - huggingface/text-embeddings-inference:文本嵌入模型的高速推理解决方案
Paged Attention主要有vLLM(Paged Attenion原创者)、TensorRT-LLM 2家实现。TGI在Prifill环节使用了Dao版Flash Attention,在Decode环节使用了vLLM版 Paged Attention。原因是虽然vLLM版 Paged Attention的实现采用了Flash Attention的技巧,但缺少各样本query长度不等的Batch推理API(在Prefill环节需要此API)。出于此情况TGI...
Text Embeddings You can use any JinaBERT model with Alibi or absolute positions or any BERT, CamemBERT, RoBERTa, or XLM-RoBERTa model with absolute positions intext-embeddings-inference. Support for other model types will be added in the future. ...
Breadcrumbs text-embeddings-inference / run.sh Latest commit xiesiyang add run.sh support 5d2a9fe· Mar 26, 2024 HistoryHistory File metadata and controls Code Blame executable file· 26 lines (19 loc) · 677 Bytes Raw #!/bin/bash # 指定目标路径 model_dir_path="/models/embeddings" # ...
PUT _ingest/pipeline/remote_embedding_test { "description": "text embedding pipeline for remote inference", "processors": [ { "remote_embedding": { "remote_config": { "method": "POST", "url": "http://d-1847112161**-serve-svc.r-**mdkmb:8000/v1/embeddings", "params": { "token":...
huggingface/text-embeddings-inference最新发布版本:v1.2.2(2024-04-16 22:48:19)No compilation step Dynamic shapes Small docker images and fast boot times. Get ready for true serverless! Token based dynamic batching Optimized transformers code for inference using Flash Attention, Candle and cuBLASLt ...
我们可以使用如下的命令来生成密集向量: POST _inference/alibabacloud_ai_search_embeddings { "input": "阿里巴巴(中国)有限公司成立于2007年03月26日,法定代表人蒋芳" } 1. 2. 3. 4. 密集向量是一个浮点数的数组。我们在生成的时候,其实还是可以对它进行标量量化,这样可以节省内存消耗,并提高搜索的速度。
huggingface/text-embeddings-inference最新发布版本:v1.5.0(2024-07-10 23:34:40)What's Changed fix(gke): accept null values for vertex env vars by @OlivierDehaene in https://github.com/huggingface/text-embeddings-inference/pull/243 fix: fix cpu image to not default on the sagemaker ...