Instructions to use WIPI/train15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WIPI/train15 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WIPI/train15", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c5bb5879a6d9cd1f8f1857f28fb9629f52b46c40d3c1ca6d908e1e64f15bf50
- Size of remote file:
- 62 MB
- SHA256:
- 51e6e6d10c2b62682a58cf95e7c75b4d7bdf0b46e5545f7b84b6ba11016bfb3f
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