Feature Extraction
ONNX
sentence-transformers
Transformers.js
Arabic
bert
sentence-similarity
dataset_size:75000
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use adelpro/atm-v2-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use adelpro/atm-v2-web with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adelpro/atm-v2-web") 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 adelpro/atm-v2-web with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'adelpro/atm-v2-web'); - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!