BEE-spoke-data
/

bert-plus-L8-v1.0-syntheticSTS-4k

Sentence Similarity

sentence-transformers

feature-extraction

document embedding

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

pszemraj commited on Mar 10, 2024

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@@ -1,5 +1,5 @@
 ---
-base_model: BEE-spoke-data/bert-plus-L8-4096-v1.0
 library_name: sentence-transformers
 pipeline_tag: sentence-similarity
 tags:
@@ -16,6 +16,7 @@ datasets:
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 - ctx 4096 on synthetic text similarity dataset of `text1`, `text2`, `label`
 - Matryoshka dims: [768, 512, 256, 128, 64]

 ---
+base_model: BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka
 library_name: sentence-transformers
 pipeline_tag: sentence-similarity
 tags:
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+- Continued-tune of [BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka](https://hf.co/BEE-spoke-data/bert-plus-L8-v1.0-allNLI_matryoshka)
 - ctx 4096 on synthetic text similarity dataset of `text1`, `text2`, `label`
 - Matryoshka dims: [768, 512, 256, 128, 64]