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:
- 4d571e475f276ba1adff012fcbe70333a66ed027731d3256682bc471bdff66d3
- Size of remote file:
- 2.28 GB
- SHA256:
- 0e0da8fdeb3a17953274dc904058f4e5cb97f48b6cf153dbada8eb68793b28da
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