Instructions to use michaelfeil/ct2fast-pythia-2.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-pythia-2.8b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-pythia-2.8b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9831adee8a7a1d83b3655954336d7bf0042aa398f6df99d7f33f44c1b40cc5f6
- Size of remote file:
- 5.55 GB
- SHA256:
- d762d8b160380259b160f4dc95e4a4e01c6ef7f000186abe9e3d2f78f7c4008e
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