Instructions to use AndyChiang/cdgp-csg-scibert-cloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-scibert-cloth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-scibert-cloth")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-scibert-cloth") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-scibert-cloth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dc1b91119546b9557acafe977ead110b5e557c197f8d555d73f4b5d07f1dc59
- Size of remote file:
- 440 MB
- SHA256:
- 92efede5567c8ff0fa4c864b88dbc369f61cafc45b345399b01b8bb0503995b0
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