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:
- 2b32e76eec6e850be6649c3f2fdb02897eb575b5ec581b36f8ed87f9eccdd925
- Size of remote file:
- 1.63 GB
- SHA256:
- efd5e1f1a364f1276abc0fc3c6bcc6995b900bc0dbf1727703ef061cd26f0074
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