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:
- 864b2444943cbddd04290adc40d82230d39c32f02ae588a9d9d2801494e0c882
- Size of remote file:
- 1.31 GB
- SHA256:
- 17ce430f77cd56c55e34338eb389caf00f5e9148b427215e3bd7ff4c8073c156
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