Instructions to use YeonwooSung/Llama-3-8B-llm2vec-Emb-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YeonwooSung/Llama-3-8B-llm2vec-Emb-v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YeonwooSung/Llama-3-8B-llm2vec-Emb-v0.1") 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
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|end_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": "_", | |
| "pad_token": "<|end_of_text|>" | |
| } | |