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
| { | |
| "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 | |
| } | |