Instructions to use vllm-project/e5-v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use vllm-project/e5-v with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vllm-project/e5-v") 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
Download generation_config.json from vllm-project/e5-v: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/vllm-project/e5-v/resolve/main/generation_config.json
- Command line
-
hf download hf://vllm-project/e5-v/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/vllm-project/e5-v/resolve/main/generation_config.json
121 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128009, | |
| "transformers_version": "4.41.2" | |
| } | |