Breadcrumbs text-embeddings-inference-mindie-dify / flake.nixTop File metadata and controls Code Blame 231 lines (205 loc) · 7.54 KB Raw { description = "Build a cargo project"; inputs = { nixpkgs.url = "githu
387 - docker run --gpus all -p 8080:80 -v $volume:/data --pull always ghcr.io/huggingface/text-embeddings-inference:1.2-grpc --model-id $model --revision $revision 388 - ``` 105 + ### Huawei NPU 389 106 390 - ```shell 391 - grpcurl -d '{"inputs": "What ...
For a closed-set setting with K concepts, a dictionary of with K embeddings are learned, U = [u1, ··· , uK ]. While this non-parametric representation works well in the closed-set setting, it has two drawbacks: (1) The conditioning is implemented as a dictionary look-up ov...
The wake-sleep algorithm can effectively improve the convergence speed and reduce the final inference error [46,47]. In the pre-training stage, the stacked RBM structures are trained in sequence. For each layer, the transfer parameters can be calculated as follows with a commonly used small ...
T cells were projected onto the UMAP embeddings of a murine reference atlas with ProjecTILs [24], using default settings. Copy number variations were determined with infercnv v1.10 [25]. The B cell clusters were downsampled to 1000 cells per cluster, GENCODE v19 was used as a gene order ...
Support visualization of word embeddings in Tensorboard (#969) Decouple decoder and output layer creation in BasePairwiseModel (#973) Drop rows with insufficient columns in TSV data source (#954) Add use_config_from_snapshot option(load config from snapshot or current task) (#970) ...