Instructions to use AndyChiang/cdgp-csg-bert-cloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-bert-cloth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-bert-cloth")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-bert-cloth") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-bert-cloth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9d022e1dcf3737e03099798c508774fda59b81af1decd39ece1f1a72f235027
- Size of remote file:
- 438 MB
- SHA256:
- 3f975f8af1845835c10c76e7fc3113449bc0054d2d74d66b75f47a584012ae8e
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