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
- Xet hash:
- 68c643821576e285fcf90e34ac9dbb271f1f4c4e1b019dc4cdc2656084a035ce
- Size of remote file:
- 215 MB
- SHA256:
- 872d87f5c5fe42ccae99c713e862cf5e0f83fc9cc9149430181eaf48b5aeed6a
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