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:
- 249c363d8db1a538699bac9694155ded4d6684a3a5ad29629bdef7f618de24e0
- Size of remote file:
- 3.96 kB
- SHA256:
- 97c4c91db6e7365d444cfd75d525ee3fbf1e68e740046ea82850efbb0c36b68f
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