Instructions to use AnonymousSub/FPDM_bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/FPDM_bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/FPDM_bart-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/FPDM_bart-base") model = AutoModel.from_pretrained("AnonymousSub/FPDM_bart-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d841380f9fe3ac5aca2236dc2c98fc47dcb723c45e46bc9d5a2007e71845d3b5
- Size of remote file:
- 558 MB
- SHA256:
- bc7684764aa273ba87ad688e7070558338299695d4fc819e9acd7c660a8bb992
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