Instructions to use mosaicml/mosaic-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mosaicml/mosaic-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mosaicml/mosaic-bert-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mosaicml/mosaic-bert-base", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("mosaicml/mosaic-bert-base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
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## Documentation
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* [Blog post](https://www.mosaicml.com/blog/mosaicbert)
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* [Github (mosaicml/examples/bert repo)](https://github.com/mosaicml/examples/tree/
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## How to use
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## Documentation
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* [Blog post](https://www.mosaicml.com/blog/mosaicbert)
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* [Github (mosaicml/examples/bert repo)](https://github.com/mosaicml/examples/tree/aab5ef7315715509cff9e08e862d41b3cbac83ad/examples/benchmarks/bert)
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## How to use
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