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
Can you use bart-large-cnn for word frequency?
#85
by JDKJohn - opened
I am new to Hugging Face and am completing my Generative AI Fundamentals Specialization online.
My question is: can you use bart-large-cnn model to conduct word frequency?
I want to upload all the 5-star reviews from customers (in a single document) and determine word frequency. Word frequency from happy customers will help me write better marketing copy.
I want to thank the Hugging Face Community in advance for your help and patience with answering this question.