Instructions to use Jaehwisong/eagle2-2b-trl-sft-ChartQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jaehwisong/eagle2-2b-trl-sft-ChartQA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jaehwisong/eagle2-2b-trl-sft-ChartQA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}<image {{ image_count.value }}>{% endif %}<image-{{ image_count.value }}>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}<video {{ video_count.value }}>{% endif %}<video-{{ video_count.value }}>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}" | |
| } | |