Transformers
PyTorch
bart
text2text-generation
question-answering, multi-step-reasoning, multi-hop-reasoning
Instructions to use StonyBrookNLP/bart-large-drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StonyBrookNLP/bart-large-drop with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StonyBrookNLP/bart-large-drop") model = AutoModelForSeq2SeqLM.from_pretrained("StonyBrookNLP/bart-large-drop") - 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 sha256:9b1a070c162898958d0fe053a6e157905b7029724170fbef12091192b207caf1
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size 1625689820
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