Instructions to use whaleloops/keptlongformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whaleloops/keptlongformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="whaleloops/keptlongformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("whaleloops/keptlongformer") model = AutoModelForMaskedLM.from_pretrained("whaleloops/keptlongformer") - Notebooks
- Google Colab
- Kaggle
zhichao yang commited on
Commit ·
e7db871
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Parent(s): f025c9d
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Browse files- pytorch_model.bin +3 -0
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