Instructions to use Azma-AI/bart-conversation-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azma-AI/bart-conversation-summarizer 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="Azma-AI/bart-conversation-summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Azma-AI/bart-conversation-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Azma-AI/bart-conversation-summarizer") - Notebooks
- Google Colab
- Kaggle
🚩 Report: Ethical issue(s)
#1
by papaponcho - opened
Seems like the same model as https://huggingface.co/kabita-choudhary/finetuned-bart-for-conversation-summary/tree/main