Instructions to use kejian/cond-normandy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cond-normandy with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cond-normandy") model = AutoModel.from_pretrained("kejian/cond-normandy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac0dc5810ad8ba850c806c2ae4d6b9f905ed72dbc1e28eb2af5af48d63e3e874
- Size of remote file:
- 457 MB
- SHA256:
- 0800d5769b5dcf049e7c198a906fe28027fc9eb982fb87cd69664e65bcc2d5b0
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