Instructions to use PartAI/TookaBERT-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PartAI/TookaBERT-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PartAI/TookaBERT-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PartAI/TookaBERT-Large") model = AutoModelForMaskedLM.from_pretrained("PartAI/TookaBERT-Large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad46315cb8683fe55b2d893726c5e324b7c9de5069b7e27ff2f247d3f31a2cd9
- Size of remote file:
- 1.41 GB
- SHA256:
- 5a96012fea14c2cdd553a36caa2d49fba6b4e4ca474e02971552c492053a6f44
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