Instructions to use gaunernst/bert-small-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaunernst/bert-small-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gaunernst/bert-small-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gaunernst/bert-small-uncased") model = AutoModelForMaskedLM.from_pretrained("gaunernst/bert-small-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcb59375881a742892d8672f1c670f76e3a1a394237172cb5b1e857e392da611
- Size of remote file:
- 116 MB
- SHA256:
- a20a3f83d3f4e0aaf2b86aecefcfe6fd3bb33dbbab60bc4e67cb3a48244a86e1
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