Instructions to use ZurabDz/BartGeoV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZurabDz/BartGeoV2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ZurabDz/BartGeoV2") model = AutoModelForSeq2SeqLM.from_pretrained("ZurabDz/BartGeoV2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fa7db57e975354e4a9e67607784b677056feb6465ade4cbb892178c8d8bd1d0
- Size of remote file:
- 558 MB
- SHA256:
- 47754e155761dde6ca19c551a1c8e5f097d8bfda14a6b22ae5681a76d6e7e5df
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