Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
gte
image-feature-extraction
feature-extraction
mteb
arctic
snowflake-arctic-embed
custom_code
Eval Results (legacy)
Instructions to use PatrickHaller/snowflake-arctic-embed-m-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use PatrickHaller/snowflake-arctic-embed-m-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PatrickHaller/snowflake-arctic-embed-m-v2.0", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers.js
How to use PatrickHaller/snowflake-arctic-embed-m-v2.0 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'PatrickHaller/snowflake-arctic-embed-m-v2.0'); - Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "sentence_transformers": "2.7.0.dev0", | |
| "transformers": "4.39.3", | |
| "pytorch": "2.1.0+cu121" | |
| }, | |
| "prompts": { | |
| "query": "query: " | |
| }, | |
| "default_prompt_name": null | |
| } | |