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
Commit ·
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Parent(s): 2ce77c4
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (9fbc5879868089132a3859c14950dddfa158e54e)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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