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:
- 1bd59d73b9feb1995371f2b9aab30e03b6754c74d31382eb432e1d3147f3fffd
- Size of remote file:
- 1.41 GB
- SHA256:
- 1a0363e02454d8f27acf6735a4e6f16e891d02ed8b583f3e2733776b824b667d
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