Instructions to use RohanHBTU/bart-large-finetuned-question-to-answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RohanHBTU/bart-large-finetuned-question-to-answer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RohanHBTU/bart-large-finetuned-question-to-answer") model = AutoModelForSeq2SeqLM.from_pretrained("RohanHBTU/bart-large-finetuned-question-to-answer") - Notebooks
- Google Colab
- Kaggle
bart-large-finetuned-question-to-answer / runs /Jan23_19-29-48_15a63cfb2616 /events.out.tfevents.1706038192.15a63cfb2616.26.2
- Xet hash:
- 2769342dfb413530a77d1cb40b8352df19e4cf13f6d3294095dbb39c89c24e4a
- Size of remote file:
- 6.34 kB
- SHA256:
- 225f0624126598ae6cf37e096a67eb8a28f74614c92030fbf5f498b1871a80ea
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