Instructions to use AndyChiang/cdgp-csg-roberta-dgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-roberta-dgen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-roberta-dgen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-roberta-dgen") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-roberta-dgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d17eaeaa820acf5850dbd9c860c2d5d4531607eeee8705d565a1d69ce19994df
- Size of remote file:
- 499 MB
- SHA256:
- 75bc72f37afb528b256c604e13248def055392f9e15d10f3cb260e22554f9e67
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