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:
- ee62e327aef5b286bd3404b9813707d414ca26f7f1de4d7fe9e764a71d68473c
- Size of remote file:
- 1.63 GB
- SHA256:
- 58c9c18bebcfd6bf5ec6ca05972795a40817e2a88ec81489d5dc0f744b68ef31
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