Instructions to use bowphs/GreBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/GreBerta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bowphs/GreBerta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bowphs/GreBerta") model = AutoModelForMaskedLM.from_pretrained("bowphs/GreBerta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4014e2c76e8e1e943c2d9dfa48e6b26446b713d49892de71d8151096a838435
- Size of remote file:
- 504 MB
- SHA256:
- a085e3b1baf5415af358f1eaba2247658541bb6ce016f215097882df8d44a7b8
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