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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd04dd549e78c82de7750a445e66a4aafd025d0708e6cae1508a6adeb59867ee
- Size of remote file:
- 558 MB
- SHA256:
- 4e3dbfa4055333646f698b1152a4b7b43d55b8e5648b28264b0cd36276007cff
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