Instructions to use rooftopcoder/longt5-dialogsum-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/longt5-dialogsum-2048 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/longt5-dialogsum-2048") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/longt5-dialogsum-2048") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0496548504fc4a000d9d728a6d0405ec3f32dbe5122ef1c08462c5d5a7789510
- Size of remote file:
- 990 MB
- SHA256:
- 1719d170dbf82e9b2846639c035de83a46f00cc62dc3ee057271697415cac23d
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