Instructions to use shenkha/DGSlow_Bartbase_BST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shenkha/DGSlow_Bartbase_BST with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shenkha/DGSlow_Bartbase_BST") model = AutoModelForSeq2SeqLM.from_pretrained("shenkha/DGSlow_Bartbase_BST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9a8c7fad09c4bc207a17bb5131b04304a34c95cb3e7ddda629bb04c0f27b3e9
- Size of remote file:
- 558 MB
- SHA256:
- b33631c531210eef08a3a261028ea80ef1bb802077b985ffc1a107c5adad1a3f
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