Instructions to use shrinath-suresh/bart-qa10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrinath-suresh/bart-qa10k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shrinath-suresh/bart-qa10k") model = AutoModelForSeq2SeqLM.from_pretrained("shrinath-suresh/bart-qa10k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29146755e0c42d5b0feaeaa2dee2ad9a66ec9e3c210f9d8f263f5bb07ff02d74
- Size of remote file:
- 3.64 kB
- SHA256:
- aa92140da48a9a45fbc326fe662596694c8e06582ce42cd3d05250b78eb6da7d
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