Instructions to use efeno/replicate_colidefics2_text_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efeno/replicate_colidefics2_text_model with Transformers:
# Load model directly from transformers import AutoProcessor, ColPali processor = AutoProcessor.from_pretrained("efeno/replicate_colidefics2_text_model") model = ColPali.from_pretrained("efeno/replicate_colidefics2_text_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 483 Bytes
2c323a5 | 1 2 3 4 5 6 | {
"chat_template": "{% for message in messages %}{{message['role'].capitalize()}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}<end_of_utterance>\n{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
"image_seq_len": 64,
"processor_class": "Idefics2Processor"
}
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