Instructions to use hf-internal-testing/tiny-random-BartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d403b6eb0a2382e048fba5776f897012b1454b5e3d89a60df5346f90f381edc5
- Size of remote file:
- 123 kB
- SHA256:
- a767e3e67b7f6c4c577079b3d03c7ff16a60e37080c7bf12b89cae32fb3e5d4b
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