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:
- 81b4203a2e480fedc2c84a37515f6f45ea39b76e5dba573cd1ac2b510065aa0c
- Size of remote file:
- 1.31 GB
- SHA256:
- 9fc79e82721e41f7b7c3df74a921b8b012d5d6ceb43bae1ed4ef3027b6f39a0e
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