Instructions to use dtorber/BioNLP-conditional-prompting-decoder-PLOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/BioNLP-conditional-prompting-decoder-PLOS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-conditional-prompting-decoder-PLOS") model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-conditional-prompting-decoder-PLOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 184 Bytes
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