Instructions to use jihyoung/rebot-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jihyoung/rebot-summarization 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="jihyoung/rebot-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jihyoung/rebot-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("jihyoung/rebot-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21eafa9da4d24943d3b2dfe2378a8c6161aedbd51cf113e91b2ec43829e4df55
- Size of remote file:
- 892 MB
- SHA256:
- 8e11c17cd8cc7561f7e320ab45798e04646f7d1b18137f8e3c9fc9476d2b62ba
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