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:
- fb94509b3bced6fcd64adea481641d5f2af78c8a3059ac0415c3ac4581343829
- Size of remote file:
- 307 MB
- SHA256:
- 3274eb1863995654cafce3d5d2b68914754144e0ac85e1414bbc41b2c03c777c
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