Instructions to use dyingc/bert-base-uncased-with-custom-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyingc/bert-base-uncased-with-custom-code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dyingc/bert-base-uncased-with-custom-code")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dyingc/bert-base-uncased-with-custom-code") model = AutoModelForMaskedLM.from_pretrained("dyingc/bert-base-uncased-with-custom-code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 431ee72bf9e1c76b38cd1df2f38f9bc0a661e8de8368824d720cc0f0e7d0adf7
- Size of remote file:
- 405 MB
- SHA256:
- 7c2f7d1ece53d61c08c1e4c90c6122b726505cc0b6b1c2003c44d41e558f1e01
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