Any-to-Any
Transformers
Safetensors
janus
image-text-to-text
muiltimodal
text-to-image
unified-model
Instructions to use rAVEUK/Janus-Pro-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rAVEUK/Janus-Pro-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("rAVEUK/Janus-Pro-7B") model = AutoModelForMultimodalLM.from_pretrained("rAVEUK/Janus-Pro-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from rAVEUK/Janus-Pro-7B: direct link, hf CLI and curl.
- Browser
- Download file 233 Bytes
-
https://huggingface.co/rAVEUK/Janus-Pro-7B/resolve/main/generation_config.json
- Command line
-
hf download hf://rAVEUK/Janus-Pro-7B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/rAVEUK/Janus-Pro-7B/resolve/main/generation_config.json
233 Bytes
| { | |
| "_from_model_config": false, | |
| "bos_token_id": 100000, | |
| "eos_token_id": 100001, | |
| "generation_kwargs": { | |
| "boi_token_id": 100016 | |
| }, | |
| "guidance_scale": 5, | |
| "pad_token_id": 100015, | |
| "transformers_version": "4.52.0.dev0" | |
| } | |