Instructions to use julien-c/bert-xsmall-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/bert-xsmall-dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/bert-xsmall-dummy")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/bert-xsmall-dummy") model = AutoModelForMaskedLM.from_pretrained("julien-c/bert-xsmall-dummy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b75a8af81c48a6b671328d143e2f8dc5976b6ab16e19902612816ff9b76c96d4
- Size of remote file:
- 58.5 kB
- SHA256:
- 03042069505e9121193c06231f199d0f0fafcdef68b7652f972838ed36ece84d
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