google
/

embeddinggemma-300m

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Model card Files Files and versions

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Explicit Title Format Performs Worse Than Simple Format (Contradicts Docs)

#35 opened 10 days ago by

List of supported languages

#34 opened 11 days ago by

Question regarding the two-layer linear (FNN) projection structure in EmbeddingGemma-300M

#33 opened 12 days ago by

The model is now added to WebAI.js. Run it in your browser with no code required.

#32 opened 17 days ago by

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

#29 opened about 1 month ago by

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

#28 opened about 2 months ago by

MarCognity-AI for google/embeddinggemma-300m

#27 opened about 2 months ago by

Request: DOI

#26 opened about 2 months ago by

Added note about transformers library version

#24 opened 2 months ago by

How Do i Use it on Android

#23 opened 3 months ago by

different embedding ?

#22 opened 3 months ago by

Trainability is not explicitly stated

#21 opened 3 months ago by

Update README.md

#20 opened 3 months ago by

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

#19 opened 3 months ago by

Training supported by MS-SWIFT framework

#18 opened 3 months ago by

fix tokenizer by removing pretokenizer

#17 opened 3 months ago by

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

#15 opened 3 months ago by

Add onnx model

#14 opened 3 months ago by

Pytorch and onnx format.

#13 opened 3 months ago by

Format conversion onnx, rknn

#12 opened 3 months ago by

litterbearjiujiu

thisqeualsforward

#11 opened 3 months ago by

Seems to prefer shorter content? Model config issue?

#8 opened 3 months ago by

Add new SentenceTransformer model with an openvino backend

#7 opened 3 months ago by

Request: DOI

#5 opened 3 months ago by

vllm docs

#1 opened 3 months ago by