Instructions to use cylee/bert-base-cased-tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cylee/bert-base-cased-tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cylee/bert-base-cased-tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cylee/bert-base-cased-tutorial") model = AutoModelForMaskedLM.from_pretrained("cylee/bert-base-cased-tutorial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a115ed78266ab3dead2eca952bdfd16c1b1650662645a59a81970af8437f1817
- Size of remote file:
- 524 MB
- SHA256:
- 3c01010375c5baf95981d536d72e06f9fc4d9d9ec7485a7fa60df7178f136061
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