Instructions to use jasonecktest01/pentest-orca-pi13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jasonecktest01/pentest-orca-pi13 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jasonecktest01/pentest-orca-pi13") 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] - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": ["BertModel"], | |
| "model_type": "bert", | |
| "hidden_size": 768, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 6, | |
| "intermediate_size": 3072, | |
| "vocab_size": 30522 | |
| } | |