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:
- 855dcbbfe2ae710baaf158520db17adac1522da41df9290b07ec48f3cef63b75
- Size of remote file:
- 257 MB
- SHA256:
- d49949d756d0325411afad0cb7a07e9685f033bb56b9ad19f4baa15f0281690f
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