Instructions to use explosion-testing/bert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use explosion-testing/bert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="explosion-testing/bert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("explosion-testing/bert-test") model = AutoModelForMaskedLM.from_pretrained("explosion-testing/bert-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0a17fc21df9803c3169d1a157fcfa4160f7027c4477012264ec4f3c22f006a9
- Size of remote file:
- 377 kB
- SHA256:
- a461a5f06e06e1d1b7847467d2c9461f4af5a6af15b066e33a47fdcd002e6a28
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