Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
dense
Generated from Trainer
dataset_size:2703977
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use s7d11/SEmbedv1-0.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use s7d11/SEmbedv1-0.3b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("s7d11/SEmbedv1-0.3b") sentences = [ "11 A fɔra ne ye tun ko: Wajibi don i ka kiraya kɛ ko kura mɔgɔ sifa caman ni siya ni kan ani masakɛ caman ko la.", "Camaw ye yɛlɛmaw jateminɛ farikolo kalan na, ani tabolo sinsin neno waati dɔw la kɔnɔna yɛlɛmali cogo sɔrɔlila ani adadenfarikolo kɔnɔna sumalila.", "a b'a bolow yɛrɛkɛ nankɔ sanfɛ.", "Phnom Krom, kilomɛtiri duuru Siem Reap worodugu ani tileben yanfan fɛ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from s7d11/SEmbedv1-0.3b: direct link, hf CLI and curl.
- Browser
- Download file 992 Bytes
-
https://huggingface.co/s7d11/SEmbedv1-0.3b/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://s7d11/SEmbedv1-0.3b/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/s7d11/SEmbedv1-0.3b/resolve/main/config_sentence_transformers.json
992 Bytes
| { | |
| "model_type": "SentenceTransformer", | |
| "__version__": { | |
| "sentence_transformers": "5.2.0", | |
| "transformers": "4.57.3", | |
| "pytorch": "2.9.1+cu128" | |
| }, | |
| "prompts": { | |
| "query": "task: search result | query: ", | |
| "document": "title: none | text: ", | |
| "BitextMining": "task: search result | query: ", | |
| "Clustering": "task: clustering | query: ", | |
| "Classification": "task: classification | query: ", | |
| "InstructionRetrieval": "task: code retrieval | query: ", | |
| "MultilabelClassification": "task: classification | query: ", | |
| "PairClassification": "task: sentence similarity | query: ", | |
| "Reranking": "task: search result | query: ", | |
| "Retrieval": "task: search result | query: ", | |
| "Retrieval-query": "task: search result | query: ", | |
| "Retrieval-document": "title: none | text: ", | |
| "STS": "task: sentence similarity | query: ", | |
| "Summarization": "task: summarization | query: " | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |