Instructions to use dunlp/GWW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dunlp/GWW with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dunlp/GWW")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dunlp/GWW") model = AutoModelForMaskedLM.from_pretrained("dunlp/GWW") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 554068f688b7637497fafcbc3754bd2676da1424fc39279f7fd648322e09fdea
- Size of remote file:
- 437 MB
- SHA256:
- 100de475440ccac35511480b70c516e2110bfa325104b0fc0f4921b394cc8f71
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