Instructions to use shenkha/DGSlow_Bartbase_PC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shenkha/DGSlow_Bartbase_PC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shenkha/DGSlow_Bartbase_PC") model = AutoModelForSeq2SeqLM.from_pretrained("shenkha/DGSlow_Bartbase_PC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8be4dc8652f2ea7cac16a282a766139c1ecda1041a6cdc72ad72192974da079b
- Size of remote file:
- 558 MB
- SHA256:
- 0feab5bba585dc63c5d343b40f69d4a525113c6a5e0b05b86b6cefb5308974b8
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