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:
- 35dd7e65d716ea6073f4f5f953eb80db0eadf8664a7623f0dea99b787317bba2
- Size of remote file:
- 1.22 GB
- SHA256:
- 709b10de905742c7eadc8ad3495dfd914b35dedee67f2b99c0100e541ec8b957
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