Summarization
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
English
bart
text2text-generation
Eval Results (legacy)
Instructions to use facebook/bart-large-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large-cnn 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="facebook/bart-large-cnn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn") - Inference
- Notebooks
- Google Colab
- Kaggle
Error while Summarising
#46
by siddddddd - opened
I am getting an error that index is out of range for summarisation task. Please help.
Hey @siddddddd , do you mind sharing a reproducible code example that led you to this error? It will be hard to help you otherwise.
@Harsh6519 if you get the same error, could you please do what is requested above? It's impossible to help you otherwise
Hello, I think I have the same issue I am trying to summarize a discussion of 20 000 characters and, weirdly it works for movies script but not with my own text, here you can have a look of my problem, please help me!
Capture.PNG