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:
- 6f4764ad61c116026b47b0b7ec5034c81a718dda9151002dea08979f6dce6e72
- Size of remote file:
- 1.02 GB
- SHA256:
- 8a82f66eff1a639c093ef3ff900e67437a4acc4888c2c19dce4f8f2d5864cda7
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