Instructions to use IMISLab/GreekT5-mt5-small-greeksum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMISLab/GreekT5-mt5-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-mt5-small-greeksum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IMISLab/GreekT5-mt5-small-greeksum") model = AutoModelForSeq2SeqLM.from_pretrained("IMISLab/GreekT5-mt5-small-greeksum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcfad16e698a8db56534ea0478c9e4e04283589d8164d9b7afdf51f3bb803ba1
- Size of remote file:
- 1.2 GB
- SHA256:
- 18fde158bd4152cac661b99bb1a5155667d6e9167f4976b951bce07124cfc802
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