Instructions to use SreyesUH/Tune_maira_PromptTesting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SreyesUH/Tune_maira_PromptTesting with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SreyesUH/Tune_maira_PromptTesting", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from SreyesUH/Tune_maira_PromptTesting: direct link, hf CLI and curl.
- Browser
- Download file 327 Bytes
-
https://huggingface.co/SreyesUH/Tune_maira_PromptTesting/resolve/main/processor_config.json
- Command line
-
hf download hf://SreyesUH/Tune_maira_PromptTesting/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/SreyesUH/Tune_maira_PromptTesting/resolve/main/processor_config.json
327 Bytes
| { | |
| "box_end_token": "</box>", | |
| "box_start_token": "<box>", | |
| "image_token": "<image>", | |
| "num_additional_image_tokens": 1, | |
| "num_box_coord_bins": 100, | |
| "patch_size": 14, | |
| "phrase_end_token": "</obj>", | |
| "phrase_start_token": "<obj>", | |
| "processor_class": "Maira2Processor", | |
| "vision_feature_select_strategy": "default" | |
| } | |