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Not able to recreate the benchmark scores using embedding gemma. (for MTEB SCIDOCS).

➕ 1

#29 opened 7 days ago by

sairam-rs

Embedding is different depending on batch contents (when sequence lengths are different)

#28 opened 20 days ago by

praateek-nv

MarCognity-AI for google/embeddinggemma-300m

#27 opened 21 days ago by

elly99

Request: DOI

#26 opened 21 days ago by

zahar24

Added note about transformers library version

#24 opened about 1 month ago by

hichaelmart

How Do i Use it on Android

#23 opened about 1 month ago by

walkingstatue

different embedding ?

#22 opened about 1 month ago by

Ratar37003

Trainability is not explicitly stated

#21 opened about 1 month ago by

edmond

Update README.md

#20 opened about 1 month ago by

vibubarani

Is there any native settings to extend the context window to 8k?

#19 opened about 1 month ago by

sihanzeng233

Training supported by MS-SWIFT framework

#18 opened about 1 month ago by

tastelikefeet

fix tokenizer by removing pretokenizer

#17 opened about 2 months ago by

stephantulkens

Embedding values coming as [nan, nan, nan.....]

#15 opened about 2 months ago by

ankitgoel16

Add onnx model

#14 opened about 2 months ago by

wirthual

Pytorch and onnx format.

#13 opened about 2 months ago by

kuldiya

Format conversion onnx, rknn

#12 opened about 2 months ago by

litterbearjiujiu

thisqeualsforward

#11 opened about 2 months ago by

firmwsrc

Seems to prefer shorter content? Model config issue?

👍 1

#8 opened about 2 months ago by

hichaelmart

Add new SentenceTransformer model with an openvino backend

#7 opened about 2 months ago by

santhosh

Request: DOI

#5 opened about 2 months ago by

sinahb

vllm docs

#1 opened about 2 months ago by

ndurkee