Instructions to use orendar/ct2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orendar/ct2-large with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("orendar/ct2-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c75d60551fcfde02f1b568b9fb0d564636d3fef72e4935cc0dd8327405d02925
- Size of remote file:
- 3.09 GB
- SHA256:
- 80ec98bb2ba683801fafe991df137c11cabe4455973f7b6ea2920527f22af43c
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