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:
- dab40e46feb6435f81cd5768aa3c30b464698d6acba3eee861412c37412f16a3
- Size of remote file:
- 3.77 kB
- SHA256:
- db263cfa330c52ad6aeb1ff215439aaef3bc0cffa57854bb54b41337f735458c
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