Any-to-Any
Transformers
PyTorch
Safetensors
multi_modality
muiltimodal
text-to-image
unified-model
4-bit precision
bitsandbytes
Instructions to use neilmehta24/janus-pro-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neilmehta24/janus-pro-7b-4bit with Transformers:
# Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("neilmehta24/janus-pro-7b-4bit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_special_token": false, | |
| "ignore_id": -100, | |
| "image_tag": "<image_placeholder>", | |
| "mask_prompt": true, | |
| "num_image_tokens": 576, | |
| "processor_class": "VLChatProcessor", | |
| "sft_format": "deepseek" | |
| } | |