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:
- 717f264b29b01575f322161c9a95489808ac7f034b632a2c65978a47e71025bf
- Size of remote file:
- 3.52 kB
- SHA256:
- 6afd61829a6a83d3a7d180ca7912bd8902399c40311f69beaba6c0a20773c30f
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