Instructions to use Patcas/v2-plbart-works with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/v2-plbart-works with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/v2-plbart-works") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/v2-plbart-works", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da748091af096f310d7bab41af6cc4614b79533af1bdb1b53d2bf44549323e31
- Size of remote file:
- 4.73 kB
- SHA256:
- 27d3c540a06ff55592aff4535e2126ff0a15b42a391c35b7f8ac062b88ff9f29
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