Sentence Similarity
sentence-transformers
ONNX
Transformers.js
bert
feature-extraction
ONNX
text-embeddings-inference
Instructions to use meow-d/mdbr-leaf-ir-obsidian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use meow-d/mdbr-leaf-ir-obsidian with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("meow-d/mdbr-leaf-ir-obsidian") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers.js
How to use meow-d/mdbr-leaf-ir-obsidian with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'meow-d/mdbr-leaf-ir-obsidian'); - Notebooks
- Google Colab
- Kaggle
MongoDB/mdbr-leaf-ir fine-tuned on [[wikilinks]] from public Obsidian vaults, packaged for ONNX to be used in transformers.js.
Made for an Obsidian plugin I'm developing, as part of my degree final year project.
TODO write the methodology here................
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Model tree for meow-d/mdbr-leaf-ir-obsidian
Base model
MongoDB/mdbr-leaf-ir