Instructions to use BarelyFunctionalCode/Janus-Pro-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BarelyFunctionalCode/Janus-Pro-1B with Transformers:
# Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("BarelyFunctionalCode/Janus-Pro-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from BarelyFunctionalCode/Janus-Pro-1B: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
-
https://huggingface.co/BarelyFunctionalCode/Janus-Pro-1B/resolve/refs%2Fpr%2F1/processor_config.json
- Command line
-
hf download hf://BarelyFunctionalCode/Janus-Pro-1B@refs/pr/1/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/BarelyFunctionalCode/Janus-Pro-1B/resolve/refs%2Fpr%2F1/processor_config.json
210 Bytes
| { | |
| "add_special_token": false, | |
| "ignore_id": -100, | |
| "image_tag": "<image_placeholder>", | |
| "mask_prompt": true, | |
| "num_image_tokens": 576, | |
| "processor_class": "VLChatProcessor", | |
| "sft_format": "deepseek" | |
| } | |