Instructions to use Moustapha91/bart_large_Q-R-v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Moustapha91/bart_large_Q-R-v01 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Moustapha91/bart_large_Q-R-v01") model = AutoModelForSeq2SeqLM.from_pretrained("Moustapha91/bart_large_Q-R-v01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56c82fe31ffe5c9aef21c7e05278af2217da4a4d5e635d77bbc6f0595f60ca1b
- Size of remote file:
- 1.63 GB
- SHA256:
- 10f26edb1bf82757e8c21ce6bf369e7314080b158115de3c0f32bda87d91957f
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