Summarization
Transformers
PyTorch
English
bart
text2text-generation
t&c
tos
distilbart
distilbart-6-6
Instructions to use ml6team/distilbart-tos-summarizer-tosdr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/distilbart-tos-summarizer-tosdr 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="ml6team/distilbart-tos-summarizer-tosdr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ml6team/distilbart-tos-summarizer-tosdr") model = AutoModelForSeq2SeqLM.from_pretrained("ml6team/distilbart-tos-summarizer-tosdr") - Notebooks
- Google Colab
- Kaggle
Ctrl+K