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:
- 60a5bdf87594c4078d967c1fbbfd569707b6c4d690a0e669a9b8d75b7063e410
- Size of remote file:
- 231 MB
- SHA256:
- 85065312f55524515c8cb091ec40f127aeef4bf1f45081f5cf29d730eea6f19c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.