onnx-models

38 models • 1 total models in database

Sort by:

All MiniLM L6 V2 Onnx

This is the ONNX-ported version of the sentence-transformers/all-MiniLM-L6-v2 for generating text embeddings. Model details - Embedding dimension: 384 - Max sequence length: 256 - File size on disk: 0.08 GB - Modules incorporated in the onnx: Transformer, Pooling, Normalize Using this model becomes easy when you have light-embed installed: Then you can use the model by specifying the original model name like this:

—

730

onnx-models

All MiniLM L6 V2 Onnx

paraphrase-multilingual-mpnet-base-v2-onnx

all-mpnet-base-v2-onnx

paraphrase-multilingual-MiniLM-L12-v2-onnx

LaBSE-onnx

paraphrase-mpnet-base-v2-onnx

all-MiniLM-L12-v2-onnx

all-MiniLM-L12-v1-onnx

gtr-t5-large-onnx

multi-qa-mpnet-base-cos-v1-onnx

sentence-t5-base-onnx

jina-embeddings-v2-small-en-onnx

all-MiniLM-L6-v2-fine-tuned-sent-sent-epochs-10-iter-10-batch-32-onnx

Splade_PP_en_v1-onnx

multi-qa-mpnet-base-dot-v1-onnx

all-distilroberta-v1-onnx

multi-qa-distilbert-dot-v1-onnx

multi-qa-distilbert-cos-v1-onnx

gtr-t5-base-onnx

sentence-t5-large-onnx

all-MiniLM-L6-v1-onnx

multi-qa-MiniLM-L6-dot-v1-onnx

msmarco-distilbert-base-tas-b-onnx

paraphrase-distilroberta-base-v2-onnx

paraphrase-TinyBERT-L6-v2-onnx

paraphrase-albert-small-v2-onnx

distiluse-base-multilingual-cased-v1-onnx

distiluse-base-multilingual-cased-v2-onnx

msmarco-bert-base-dot-v5-onnx

paraphrase-MiniLM-L6-v2-onnx

all-mpnet-base-v1-onnx

jina-colbert-v1-en-onnx

all-MiniLM-L6-v2-fine-tuned-epochs-50-iter-20-batch-32-onnx

all-MiniLM-L6-v2-fine-tuned-epochs-50-iter-20-onnx

all-MiniLM-L6-v2-fine-tuned-epochs-8-onnx

all-MiniLM-L6-v2-fine-tuned-sent-label-epochs-10-iter-10-batch-32-onnx

all-mpnet-base-v2-fine-tuned-epochs-1-onnx

all-mpnet-base-v2-fine-tuned-epochs-8-onnx