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:
- f521c3b787fe7ec1013c29d7dff2497cf467b83fc3f958edc43e87bd79ad5ecf
- Size of remote file:
- 1.12 GB
- SHA256:
- 7a6c2a7bfe76c047640385f36a26c74024dad01d88646635998cf0c21c7e3e55
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