Instructions to use royokong/e5-v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use royokong/e5-v with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("royokong/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 processor_config.json from royokong/e5-v: direct link, hf CLI and curl.
- Browser
- Download file 110 Bytes
-
https://huggingface.co/royokong/e5-v/resolve/refs%2Fpr%2F2/processor_config.json
- Command line
-
hf download hf://royokong/e5-v@refs/pr/2/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/royokong/e5-v/resolve/refs%2Fpr%2F2/processor_config.json
110 Bytes
| { | |
| "patch_size": 14, | |
| "processor_class": "LlavaNextProcessor", | |
| "vision_feature_select_strategy": "full" | |
| } | |