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
Frequent 503 Errors with BART-Large-CNN Model β Seeking Insights
Hello community,
I've been using BART-Large-CNN model on Hugging Face for a few months without issue, but recently I've started facing frequent 503 errors. This has started affecting my ability to utilize the model effectively, and I'm looking to understand what might be causing these disruptions.
I want to emphasize that this query is in no way a criticism of Hugging Face, which has been an invaluable resource. I'm just looking to troubleshoot this issue with the help of the community. If anyone else has experienced similar problems or has insights into potential solutions, your input would be very much appreciated.
Thank you all for your help and understanding!
Seems to have improved a lot! I must have been doing something dumb. Sorry about this