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:
- b3e15d93f77214cc3267d46aa5464ebbdb2cd792130eb9bd3d5481257f57c8ce
- Size of remote file:
- 815 MB
- SHA256:
- 9c593e4d0abb8f3cc593c3331e3b001f5f5bde39fe8e3ac4936973b7eb0acd0e
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