Instructions to use NouRed/BioMed-Tuned-LLaVa-1.5-ROCO_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NouRed/BioMed-Tuned-LLaVa-1.5-ROCO_4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NouRed/BioMed-Tuned-LLaVa-1.5-ROCO_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 832 Bytes
b61d894 | 1 2 3 4 5 6 7 8 | {
"chat_template": "{% for message in messages %}{% if message['role'] != 'system' %}{{ message['role'].upper() + ': '}}{% endif %}{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}{{ '<image>\n' }}{% endfor %}{# Render all text next #}{% if message['role'] != 'assistant' %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{{ content['text'] + ' '}}{% endfor %}{% else %}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{% generation %}{{ content['text'] + ' '}}{% endgeneration %}{% endfor %}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'ASSISTANT:' }}{% endif %}",
"image_token": "<image>",
"patch_size": null,
"processor_class": "LlavaProcessor",
"vision_feature_select_strategy": null
}
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