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:
- 203c28600e76ac4139c355bcf16133d8efa480ea4446105700b7a71dd743ce75
- Size of remote file:
- 990 MB
- SHA256:
- 1a1f4b03272b95a0ada86122f4518bc36359445ed9cee83f4986201bc2a12fb0
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