Instructions to use shenkha/DGSlow_Bartbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shenkha/DGSlow_Bartbase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shenkha/DGSlow_Bartbase") model = AutoModelForSeq2SeqLM.from_pretrained("shenkha/DGSlow_Bartbase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a22aabeb458e7abe3a66f74d6afa1bd5f7230207eb8067d08daa5cbc51c5d2dc
- Size of remote file:
- 558 MB
- SHA256:
- 64b0ca21acb92f7e23d8577623ef77f2953bd6cf4a9ecc1bf959b39162bdbdd9
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