Instructions to use ARTeLab/mbart-summarization-ilpost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ARTeLab/mbart-summarization-ilpost 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="ARTeLab/mbart-summarization-ilpost")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ARTeLab/mbart-summarization-ilpost") model = AutoModelForSeq2SeqLM.from_pretrained("ARTeLab/mbart-summarization-ilpost") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1f54bba2031a15223250c07a1b2aa2f4e7030bfef1912e7a8416f9032ac1d27
- Size of remote file:
- 3.12 kB
- SHA256:
- eadb00240214e0e29aee093b60627c1c1d971b3c932b3046b5425f7918785f13
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