Instructions to use facebook/flava-image-codebook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/flava-image-codebook with Transformers:
# Load model directly from transformers import FlavaImageCodebook model = FlavaImageCodebook.from_pretrained("facebook/flava-image-codebook", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "FlavaImageCodebook" | |
| ], | |
| "freeze": true, | |
| "hidden_size": 256, | |
| "initializer_range": 0.02, | |
| "input_channels": 3, | |
| "model_type": "flava_image_codebook", | |
| "num_blocks_per_group": 2, | |
| "num_groups": 4, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.19.0.dev0", | |
| "vocab_size": 8192 | |
| } | |