Instructions to use AiresPucrs/bert-base-bookcorpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiresPucrs/bert-base-bookcorpus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AiresPucrs/bert-base-bookcorpus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AiresPucrs/bert-base-bookcorpus") model = AutoModelForMaskedLM.from_pretrained("AiresPucrs/bert-base-bookcorpus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d344bb6bb1cf5af2aeb250b026a7cba61ee249f2ef547e3c2056a16b84b5596
- Size of remote file:
- 3.38 kB
- SHA256:
- 28b05104acb909f7b0f9aaee6db885d5593324326dbf573b5bf00c5337f2fee6
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