Instructions to use two048/maiBERT-PyTorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use two048/maiBERT-PyTorch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="two048/maiBERT-PyTorch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("two048/maiBERT-PyTorch") model = AutoModelForMaskedLM.from_pretrained("two048/maiBERT-PyTorch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 143d63802fef1b258da19bb1d77e9127a9df2cba69b6cc9241cac965cb100ff2
- Size of remote file:
- 951 MB
- SHA256:
- e5614644d881d51e3449736b3381df0c4b64c635cc5b6cae9163822ee7d62a55
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