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:
- 6a272f214a86b3542fc0fd95a985df61ce5268e96f6a91d6742469c36f00c6ca
- Size of remote file:
- 357 kB
- SHA256:
- 53a3cba33d93046606e6284eeb4339c7d490c33a9b64eca8143df2bf032bdb68
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