Instructions to use jinmang2/dall-e-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinmang2/dall-e-tokenizer with Transformers:
# Load model directly from transformers import DallEEncoder model = DallEEncoder.from_pretrained("jinmang2/dall-e-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "DallEEncoder" | |
| ], | |
| "device": "cpu", | |
| "group_count": 4, | |
| "input_channels": 3, | |
| "n_blk_per_group": 2, | |
| "n_hid": 256, | |
| "requires_grad": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.10.0.dev0", | |
| "use_mixed_precision": true, | |
| "vocab_size": 8192 | |
| } | |