Instructions to use randomshit11/pegasus-model-run-main-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use randomshit11/pegasus-model-run-main-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("randomshit11/pegasus-model-run-main-1") model = AutoModelForSeq2SeqLM.from_pretrained("randomshit11/pegasus-model-run-main-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2af9601a84ef6a649f9c02dd057bfc3d539e1173f7aa0338ddce3b94357687b4
- Size of remote file:
- 2.28 GB
- SHA256:
- f48cb18a0c0485ab68e42e8519e8beb45a78916b4318e5a7d79442a590110cd8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.