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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3682a62a1c54891faf4540aac342723062c706109b55339f8f3c703ca4bd7ef
- Size of remote file:
- 3.25 kB
- SHA256:
- 7f78c6d7f64d0a2a2409832e84ba3ad6dee3ac5e14675ca0d321f98be11e7d2b
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