Instructions to use uzaaft/bart_lfqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzaaft/bart_lfqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uzaaft/bart_lfqa") model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/bart_lfqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65029e624577ea3271a22a9e618cd311ead8fb2788bfabbdb9a833434761f982
- Size of remote file:
- 205 MB
- SHA256:
- 2953262e5e374ac848155d56f2d1e7b84e240852ed3574027fe492864d59a0d3
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