Instructions to use Joemgu/pegasus-x-sumstew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joemgu/pegasus-x-sumstew 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="Joemgu/pegasus-x-sumstew")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Joemgu/pegasus-x-sumstew") model = AutoModelForSeq2SeqLM.from_pretrained("Joemgu/pegasus-x-sumstew", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f99f66e38ebf5b82883cc92fa241c7c24b6d707ec1ef08d941cc42c662e0f50
- Size of remote file:
- 2.27 GB
- SHA256:
- 3f7c0dd9c1f945f5e052acfcec06e097e7fccbad04f21f9234aee5300cf8d4e9
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