Instructions to use memray/bart_wikikp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use memray/bart_wikikp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="memray/bart_wikikp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("memray/bart_wikikp") model = AutoModel.from_pretrained("memray/bart_wikikp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48585ebc77197ef49f1ebecac04e5989544632b788755978655fd78d38e49728
- Size of remote file:
- 1.63 GB
- SHA256:
- 647929e5dcd44bc3d6c1afef4d4d421590c265188e17aee19027db67b65ea1ca
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