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
- Xet hash:
- 386b90f4c675e44046744ecaa877e66f3fce63ca990fd60bbf4ae052d99a25c7
- Size of remote file:
- 5.39 kB
- SHA256:
- 4cb63a338ce9c2d37a6101c2674fcb79c536d9d124b457dbbdafb33f7ee7150d
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