Instructions to use uzaaft/bart_eli5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzaaft/bart_eli5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uzaaft/bart_eli5") model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/bart_eli5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b61f5545bb033f208e8fc39c6fdc7d7e1f5e5985986b9066d524d900b3da8e7
- Size of remote file:
- 1.02 GB
- SHA256:
- e7a31b04ee05ff5bd5e75a081894a510dd3892a8c3a7fa76e85f0e213cb63984
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