Instructions to use NYTK/PULI-BERT-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NYTK/PULI-BERT-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NYTK/PULI-BERT-Large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NYTK/PULI-BERT-Large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bbcdc8fa039417708113b92c9384f1724402d0d6eacde9e55cf5bae879fc359
- Size of remote file:
- 1.35 GB
- SHA256:
- 3612ad650aad772a68b0e745808b89c9b0cb4ecdd95d94b096c53b7e9a510c64
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