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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 064f4db133c93be089aa3aae39a59dde35bf8a192d2808149fb9d549ab9c5d4e
- Size of remote file:
- 305 MB
- SHA256:
- 6643b542e84159cd3dda8f6d525ae640cc93f7f134012db9112af66c108aa577
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