Instructions to use GAIR/rst-summarization-11b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GAIR/rst-summarization-11b with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GAIR/rst-summarization-11b") model = AutoModelForSeq2SeqLM.from_pretrained("GAIR/rst-summarization-11b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f2e6a23d6bd04927f1a36090e151d7316bc831891612a9bbbf1087efc26983b
- Size of remote file:
- 45.2 GB
- SHA256:
- 56193973d3292807e13107042aca193f4aba7fbdb5b766a20ed3609fc2eb8042
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