Instructions to use michaelfeil/ct2fast-flan-ul2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-flan-ul2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-flan-ul2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0771c95d0183bce843e6adb3ae41eb5c1f1fc3c5b33af00267775b14766bc956
- Size of remote file:
- 19.5 GB
- SHA256:
- b483ecea8987b595060eed91cde29cce8ae0aa4d031705ff6527aa23ed9d451a
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