Instructions to use mosaicml/mosaic-bert-base-seqlen-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mosaicml/mosaic-bert-base-seqlen-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mosaicml/mosaic-bert-base-seqlen-2048", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mosaicml/mosaic-bert-base-seqlen-2048", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("mosaicml/mosaic-bert-base-seqlen-2048", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a04f61b9c1ddffcc4aec52bb1af20dc9f3affd10875091654b39dacfb0a6d30
- Size of remote file:
- 550 MB
- SHA256:
- 4d6b021fec6996ec8187dad8b85de85621dbfed85e053ab0645880ca0796467a
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