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:
- 11c3f8f1f0e3e2e0ad2278ed4cab1e37669c7abdef3311e2ae935e65f9247a6b
- Size of remote file:
- 4.22 kB
- SHA256:
- 46882c5be13e561a64ccde669ca4ce9a81ede732a54c1fcffd337dc20bccf6ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.