Instructions to use MarPla/LifeScienceBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarPla/LifeScienceBART with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MarPla/LifeScienceBART") model = AutoModelForSeq2SeqLM.from_pretrained("MarPla/LifeScienceBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3370ff9eafe3150668cb208388d1767e9fa1298c991b879dc0b093b310c7d70c
- Size of remote file:
- 5.11 kB
- SHA256:
- a0522378999a9d92efa4cfc7565ed7dfc9af604a06532df031b11ea2c56539e0
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