Instructions to use kajan1/bart-large-cnn-khan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kajan1/bart-large-cnn-khan 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="kajan1/bart-large-cnn-khan")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kajan1/bart-large-cnn-khan") model = AutoModelForSeq2SeqLM.from_pretrained("kajan1/bart-large-cnn-khan") - Notebooks
- Google Colab
- Kaggle
The facebook/bart-large-cnn model fine-tuned on a dataset of Khan Academy's Transcripts. Goal is to summarize classroom lecture transcripts into short texts similar to those seen under the "About" section on any Khan Academy video.
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