Instructions to use amazon/bort with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amazon/bort with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amazon/bort")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amazon/bort") model = AutoModelForMaskedLM.from_pretrained("amazon/bort") - Notebooks
- Google Colab
- Kaggle
bort: add PyTorch model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:50c71f91a68a46ba98965add3ef2f960fc78bf9727369e6d1c531bc3a6eb470b
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size 255395359
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