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:
- 0af5c162bc50256f80b963ae35943e411f6892f79c1a7b2d819415a7970ec7be
- Size of remote file:
- 3.96 kB
- SHA256:
- 8fcc26fbed2247c9410e5f32e913244cd2b8d9de204ec84a1db72d02d8ff014d
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