Instructions to use Bhavyagowni/pegasus-scibert-scihigh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bhavyagowni/pegasus-scibert-scihigh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Bhavyagowni/pegasus-scibert-scihigh") model = AutoModelForSeq2SeqLM.from_pretrained("Bhavyagowni/pegasus-scibert-scihigh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48eefe3a36387673b7758a8e8a2e915a000726bf769abda3470732ee253e5197
- Size of remote file:
- 2.28 GB
- SHA256:
- 314a03edb0f30cbb7589bd4fc953b75eca479ba200f5106f3d55cb3725d78897
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