Instructions to use swadhindas324/convnext-Mistral-SYDNEY-without-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swadhindas324/convnext-Mistral-SYDNEY-without-captioning with Transformers:
# Load model directly from transformers import AutoTokenizer, VEDM tokenizer = AutoTokenizer.from_pretrained("swadhindas324/convnext-Mistral-SYDNEY-without-captioning") model = VEDM.from_pretrained("swadhindas324/convnext-Mistral-SYDNEY-without-captioning") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "ViTImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| } | |
| } | |