Instructions to use MarPla/LifeScienceBARTMainSections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarPla/LifeScienceBARTMainSections with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MarPla/LifeScienceBARTMainSections") model = AutoModelForSeq2SeqLM.from_pretrained("MarPla/LifeScienceBARTMainSections", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c89d3faf29ac939b35f6a3da4c5eba9d03ad9059c8e150ca8a4e949c1a52d8ea
- Size of remote file:
- 5.11 kB
- SHA256:
- 7d50c787786a0c9f057b7d6e23fc0f51899e1a3468dcf853945f30f73455a9da
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