Instructions to use uzaaft/quant_bart_eli5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzaaft/quant_bart_eli5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uzaaft/quant_bart_eli5") model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/quant_bart_eli5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 863d717b97a3de12b93a4972f8d2bf6a227f1bab80f386bef5071547f9b634eb
- Size of remote file:
- 308 MB
- SHA256:
- 895d8bdd4c9719671f21c24a66889e658f0a364e0b3e9db5aed6c185a694966f
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