Instructions to use ARTeLab/it5-summarization-fanpage-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ARTeLab/it5-summarization-fanpage-64 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="ARTeLab/it5-summarization-fanpage-64")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ARTeLab/it5-summarization-fanpage-64") model = AutoModelForSeq2SeqLM.from_pretrained("ARTeLab/it5-summarization-fanpage-64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42cfd85390c0d40b1ee852397fbbc3d19d1241180f5388535faea494ad2c25e5
- Size of remote file:
- 2.93 kB
- SHA256:
- 395b59b798351c002d8fa39da9d9d921aaea81886a2181b90365982922a49d25
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