Instructions to use jonatasgrosman/bartuque-bart-base-random-r-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/bartuque-bart-base-random-r-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jonatasgrosman/bartuque-bart-base-random-r-2") model = AutoModelForSeq2SeqLM.from_pretrained("jonatasgrosman/bartuque-bart-base-random-r-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0420dd49a9b354de61217354be00676ca0cc566c3b9e41b01de09af0a346303a
- Size of remote file:
- 557 MB
- SHA256:
- d6049d3defb676a82a0e0565eb5f19f61ae2a85360790de38f21ed347b38d3f4
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