Instructions to use Worldman/pega_570_articles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Worldman/pega_570_articles with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Worldman/pega_570_articles") model = AutoModelForSeq2SeqLM.from_pretrained("Worldman/pega_570_articles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 457dc847c678dac364695f1887411cec08f63ac5c5992f9a4ef21715fc0f82b2
- Size of remote file:
- 3.18 kB
- SHA256:
- 196bccab72932ef89b06fdedeb5346faae7abb2559643a24e4b8da36958b946c
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