Instructions to use btk-mufi/bert-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use btk-mufi/bert-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="btk-mufi/bert-pretrain")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("btk-mufi/bert-pretrain") model = AutoModelForMaskedLM.from_pretrained("btk-mufi/bert-pretrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5f830240748c9bea51db0c0e6ebdc354d896dbeb2dd7b6282d5a2db57404b54
- Size of remote file:
- 867 MB
- SHA256:
- 6207105da0aa1026b38bd008e9dcc96cdf6d9954206479a1830cec6b0d18c57d
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