Instructions to use usakha/Pegasus_multiNews_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usakha/Pegasus_multiNews_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="usakha/Pegasus_multiNews_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("usakha/Pegasus_multiNews_model") model = AutoModelForSeq2SeqLM.from_pretrained("usakha/Pegasus_multiNews_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f0e52e0951e513443180d6fff3daa42b6ac3f94805377cb568e4079c0b36075
- Size of remote file:
- 2.28 GB
- SHA256:
- ffb50a42776e39941fbd9096e9bb813201b60a149fb25058b80c097dfd4f9ef8
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