Instructions to use Worldman/pega_70_articles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Worldman/pega_70_articles with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Worldman/pega_70_articles") model = AutoModelForSeq2SeqLM.from_pretrained("Worldman/pega_70_articles", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f2bba4c33a3390e25c2909e74010897822141e3fdee4e89e5be3b1d6ce7960
- Size of remote file:
- 2.28 GB
- SHA256:
- 9586fbb3d3b28e32f72bab6818ec81f087209ef97952bfd2e9fa23cb83d470d8
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