Instructions to use swadhindas324/swin-resnet-mistral-SYDNEY-with-all-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swadhindas324/swin-resnet-mistral-SYDNEY-with-all-captioning with Transformers:
# Load model directly from transformers import AutoTokenizer, MultiTaskVED tokenizer = AutoTokenizer.from_pretrained("swadhindas324/swin-resnet-mistral-SYDNEY-with-all-captioning") model = MultiTaskVED.from_pretrained("swadhindas324/swin-resnet-mistral-SYDNEY-with-all-captioning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b83e8d1d1ce7ccee2a9dfd45be7a35c42b79003e0651cec771ebd31cb2f133ba
- Size of remote file:
- 1.69 GB
- SHA256:
- 04f834ef5ba6132efb3d8e6507600642c1fb572faefc28861ae90f1161c13d3e
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