Instructions to use diwank/bartner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diwank/bartner with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("diwank/bartner") model = AutoModelForSeq2SeqLM.from_pretrained("diwank/bartner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93f1a44a3114c7c21b2bf8fe1dac6291a4f305e467eea74c2e8b5cf24da766c9
- Size of remote file:
- 3.25 GB
- SHA256:
- 3b99f877b50285b19d08633eb2d34adf8993b659a79693d6971bfb6a4f3df28c
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