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:
- 0e38d7791b0f7051bbefef21de61619bf76fa931ad9fd45efb0383b9b9bad437
- Size of remote file:
- 1.02 GB
- SHA256:
- 64506de577f5270cc62d4043e90363d206b4d85055c84810e24757616559a73c
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