Instructions to use catofnull/BERT-Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use catofnull/BERT-Pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="catofnull/BERT-Pretrain")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("catofnull/BERT-Pretrain") model = AutoModelForMaskedLM.from_pretrained("catofnull/BERT-Pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebcc841a1ca37793a84a75fe4be5ddd93950fb9a8a76c2127b3fce0eb4381f26
- Size of remote file:
- 268 MB
- SHA256:
- db4f4a45ab528fbd146f5b49650ade970bfae667ba2441bd796ca2db3c1d9853
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