Instructions to use IMISLab/GreekT5-umt5-small-greeksum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMISLab/GreekT5-umt5-small-greeksum 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="IMISLab/GreekT5-umt5-small-greeksum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IMISLab/GreekT5-umt5-small-greeksum") model = AutoModelForSeq2SeqLM.from_pretrained("IMISLab/GreekT5-umt5-small-greeksum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9ef731db3ecca7aa2c41e06ccc60786059113aa63b9c449cc3f5ed4df556f3d
- Size of remote file:
- 4.22 kB
- SHA256:
- 27ae86dd6bb9c26ab8e30db72932fc2ee820cfe4b410d4690d88b5d094fdf89d
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