Instructions to use IMISLab/GreekT5-umt5-base-greeksum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMISLab/GreekT5-umt5-base-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-base-greeksum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IMISLab/GreekT5-umt5-base-greeksum") model = AutoModelForSeq2SeqLM.from_pretrained("IMISLab/GreekT5-umt5-base-greeksum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07f3b3450a4c25fa40428e4f3bf24b568a6801d7d63bb20bd20d83b2b4d1bc1c
- Size of remote file:
- 4.55 MB
- SHA256:
- e3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
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