Instructions to use NazzX1/pegasus-Finetuned-sum-full-note-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NazzX1/pegasus-Finetuned-sum-full-note-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NazzX1/pegasus-Finetuned-sum-full-note-v1") model = AutoModelForSeq2SeqLM.from_pretrained("NazzX1/pegasus-Finetuned-sum-full-note-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00cba50679e3111b238cdcd1c329c2dfd9a7b3b43a17dd2a3dca6befd026a017
- Size of remote file:
- 2.31 GB
- SHA256:
- 95406758b7837ac972ffb4734ef42b69069dfbe5b8f441872bfc562ae8b92e27
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