Visual Document Retrieval
Transformers
Safetensors
sentence-transformers
multilingual
qwen3_5
feature-extraction
text
image
multimodal-embedding
vidore
colbert
colqwen3_5
multilingual-embedding
multi-vector
custom_code
Instructions to use webAI-Official/webAI-ColVec1.1-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webAI-Official/webAI-ColVec1.1-8b with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("webAI-Official/webAI-ColVec1.1-8b", trust_remote_code=True) model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1.1-8b", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use webAI-Official/webAI-ColVec1.1-8b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("webAI-Official/webAI-ColVec1.1-8b", trust_remote_code=True) 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
Download 1_MultiVectorMask/config.json from webAI-Official/webAI-ColVec1.1-8b: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b/resolve/refs%2Fpr%2F1/1_MultiVectorMask/config.json
- Command line
-
hf download hf://webAI-Official/webAI-ColVec1.1-8b@refs/pr/1/1_MultiVectorMask/config.json
-
curl -L -o config.json https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b/resolve/refs%2Fpr%2F1/1_MultiVectorMask/config.json
111 Bytes
| { | |
| "skiplist_words": [], | |
| "skiplist_tasks": [ | |
| "document" | |
| ], | |
| "keep_only_token_ids": null | |
| } |