| (januspro) C:\Users\sunri\Janus>python demo/app_januspro.py | |
| Python version is above 3.10, patching the collections module. | |
| C:\Users\sunri\anaconda3\envs\januspro\lib\site-packages\transformers\models\auto\image_processing_auto.py:590: FutureWarning: The image_processor_class argument is deprecated and will be removed in v4.42. Please use `slow_image_processor_class`, or `fast_image_processor_class` instead | |
| warnings.warn( | |
| Loading checkpoint shards: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2/2 [00:26<00:00, 13.30s/it] | |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. | |
| You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message. | |
| Some kwargs in processor config are unused and will not have any effect: sft_format, add_special_token, mask_prompt, num_image_tokens, ignore_id, image_tag. | |
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| * Running on local URL: http://127.0.0.1:7860 | |
| * Running on public URL: https://c2811768e57640e1bd.gradio.live | |
| This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces) |