Instructions to use Patcas/plbart-docs-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-docs-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-docs-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-docs-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c535ace400ea86840a60100c92efa64a3030c97d9c636f13045610b4395646d9
- Size of remote file:
- 557 MB
- SHA256:
- af734f21fe4f62863e90c5ce3f5fa549e8a3231415ec644bcaba4efa6ad18ef1
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