Instructions to use allenai/PRIMERA-multixscience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/PRIMERA-multixscience with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/PRIMERA-multixscience") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/PRIMERA-multixscience", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d41f5e6db0ee307fb0f69f12f539fe57a9edb35a2811c14b975e4e056a55fe
- Size of remote file:
- 1.79 GB
- SHA256:
- 5c7f8e287b9b3caea59af31d0cfc0d985e7bcd14a200862a441de2130d6d1a74
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