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
| 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 | |