Instructions to use vidore/colpali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use vidore/colpali 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
- sentence-transformers
How to use vidore/colpali with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vidore/colpali") 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
File size: 455 Bytes
d56fc86 | 1 2 3 4 5 6 7 8 9 10 11 | {%- for message in messages -%}
{%- set images = message['content'] | selectattr('type', 'equalto', 'image') | list -%}
{%- set texts = message['content'] | selectattr('type', 'equalto', 'text') | map(attribute='text') | list -%}
{%- if images -%}
{%- for _ in images -%}{{- '<image>' -}}{%- endfor -%}
{{- texts[0] if texts else 'Describe the image.' -}}
{%- else -%}
{{ bos_token }}Question: {{ texts[0] }}{{ '<unused0>' * 5 }}
{% endif %}
{% endfor %}
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