Instructions to use vedu/bart-large-perturbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vedu/bart-large-perturbed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vedu/bart-large-perturbed")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vedu/bart-large-perturbed") model = AutoModel.from_pretrained("vedu/bart-large-perturbed") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a9ce4c0d45278729b59ea727ed268b2dabed302f7b68ca4ace122dbab647bd4
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size 1625426996
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