Instructions to use SZTAKI-HLT/mT5-base-HunSum-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SZTAKI-HLT/mT5-base-HunSum-1 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="SZTAKI-HLT/mT5-base-HunSum-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SZTAKI-HLT/mT5-base-HunSum-1") model = AutoModelForSeq2SeqLM.from_pretrained("SZTAKI-HLT/mT5-base-HunSum-1") - Notebooks
- Google Colab
- Kaggle
File size: 483 Bytes
8c6ba45 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
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