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:
- 307295a14f2c63e762794a004199b85994d3d26a0f2437edb42b860a60832775
- Size of remote file:
- 231 MB
- SHA256:
- e6cb5532e893076c49ccfa4fca5f10e8b813fd901fbf4abd83d8b03b63ee4ff2
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