Instructions to use MarPla/PhysicalSciencePegasusLargeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarPla/PhysicalSciencePegasusLargeModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MarPla/PhysicalSciencePegasusLargeModel") model = AutoModelForSeq2SeqLM.from_pretrained("MarPla/PhysicalSciencePegasusLargeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3d50ff5523ba88cda1c0d602b52c440c9b30ad3089414729c5c11d52b663cd2
- Size of remote file:
- 5.11 kB
- SHA256:
- 8e4adde9209ea30b29c783e2d2ec026c88028011404468efbe4fe40e06675ab4
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