Instructions to use sharkMeow/train_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/train_V2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/train_V2") model = AutoModel.from_pretrained("sharkMeow/train_V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0706ae4e329c401bd4ab214e4a836ba0ceb775b3c1f23bb1c5449f43a5775f5c
- Size of remote file:
- 5.3 kB
- SHA256:
- d528e7ba1739db23e94d1c15f0ba37cfcd0cff41a5b280e0eb117dec2bae3e70
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