Summarization
Transformers
PyTorch
TensorBoard
Safetensors
Italian
t5
text2text-generation
text-generation-inference
Instructions to use ARTeLab/it5-summarization-ilpost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ARTeLab/it5-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/it5-summarization-ilpost")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ARTeLab/it5-summarization-ilpost") model = AutoModelForSeq2SeqLM.from_pretrained("ARTeLab/it5-summarization-ilpost") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a58d047da40ab749a150d471b094de4ad92ddaa1cd0f59227ec46a8c9f1fde9
- Size of remote file:
- 2.93 kB
- SHA256:
- d1b07921dc23952cdabd1155124792d6dd8022b7239be353b88b9a2bd7737a74
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