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_19-29-18_15a63cfb2616 /events.out.tfevents.1706038164.15a63cfb2616.26.1
- Xet hash:
- 9cf9c61383806f6a21addde66fe5d7da7f68189fad607f2f4095b08fc0d76d42
- Size of remote file:
- 5.65 kB
- SHA256:
- 5dc3fc419b78a0a2e9e7974f4c1b990c4b83422e6cac96b62d9d699b2b7cbe26
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