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
- Xet hash:
- 3655aad5af6b823006af650b06a70f2a3da9ccbcb3505a70dad11e43295aced7
- Size of remote file:
- 255 MB
- SHA256:
- 50c71f91a68a46ba98965add3ef2f960fc78bf9727369e6d1c531bc3a6eb470b
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