Instructions to use tonetrn/aaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tonetrn/aaaaa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tonetrn/aaaaa") 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] - Notebooks
- Google Colab
- Kaggle
metadata
license: intel-research
datasets:
- sshao0516/CrowdHuman
language:
- en
metrics:
- Drunper/metrica_tesi
base_model:
- AiAsistent/xthos-v2-the-sovereign-architect
pipeline_tag: zero-shot-classification
library_name: sentence-transformers
tags:
- art