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:
- f2c9fc28bf18a5ecd1d45fd6fe8c0e5ef0e3764f0202457429b4dcc8e9231a11
- Size of remote file:
- 1.63 GB
- SHA256:
- dcd60c18b8a036ab8c080742009b1e63d412e7c5e97129d906d19062171d9388
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