Instructions to use sharkMeow/train_quarter_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/train_quarter_V2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/train_quarter_V2") model = AutoModel.from_pretrained("sharkMeow/train_quarter_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be1f11a8c36914cf52ed8fdfa4a74e15a7076682816056cde1618de32ebbccf8
- Size of remote file:
- 5.37 kB
- SHA256:
- d9e57e601a8f5fac668c0c852bdc96db686d9574b364619f389be7c21f3929d5
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