Instructions to use PartAI/TookaBERT-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PartAI/TookaBERT-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PartAI/TookaBERT-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PartAI/TookaBERT-Base") model = AutoModelForMaskedLM.from_pretrained("PartAI/TookaBERT-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0767dd6230c5125cddfed8a2c29b3c37acd6745953bf3d52807dc7d4e6de63fc
- Size of remote file:
- 492 MB
- SHA256:
- 901e76e8e999d13e20d532af1198078ed7927a9c6b4dbede16a1693cef4b9482
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