How to use vidore/colpali-v1.3-hf with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("vidore/colpali-v1.3-hf") model = AutoModelForPreTraining.from_pretrained("vidore/colpali-v1.3-hf", device_map="auto")
How to use vidore/colpali-v1.3-hf with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use vidore/colpali-v1.3-hf with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vidore/colpali-v1.3-hf") 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]
