Instructions to use NouRed/BioMed-Tuned-Phi-3.5-Vision-ROCO_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NouRed/BioMed-Tuned-Phi-3.5-Vision-ROCO_4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NouRed/BioMed-Tuned-Phi-3.5-Vision-ROCO_4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoImageProcessor": "microsoft/Phi-3.5-vision-instruct--processing_phi3_v.Phi3VImageProcessor", | |
| "AutoProcessor": "microsoft/Phi-3.5-vision-instruct--processing_phi3_v.Phi3VProcessor" | |
| }, | |
| "do_convert_rgb": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "Phi3VImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "num_crops": 4, | |
| "num_img_tokens": 144, | |
| "processor_class": "Phi3VProcessor" | |
| } | |