Sentence Similarity
sentence-transformers
Safetensors
llama
feature-extraction
text-embeddings-inference
Instructions to use BAAI/LLARA-document with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/LLARA-document with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/LLARA-document") 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
| { | |
| "bos_token_id": 1, | |
| "do_sample": true, | |
| "eos_token_id": 2, | |
| "max_length": 4096, | |
| "pad_token_id": 0, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.38.1" | |
| } | |