Instructions to use AndyChiang/cdgp-csg-bert-dgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-bert-dgen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-bert-dgen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-bert-dgen") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-bert-dgen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 187c499bf02c59e18cd413ed64efdceb71323b97adae36d97a826851e8e42ec9
- Size of remote file:
- 438 MB
- SHA256:
- 062a32d077f6bfd4cfefe5c15304446dee353e9656b530ea5fcec5c1559b60f5
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