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:
- 5b1fe921b221d8580cb1c52b2decd8f801dc70d19d50afa084f0ba25d2f2d100
- Size of remote file:
- 211 kB
- SHA256:
- 823f2c20387210c2a87739135007714fd67ef2d655403873a7321ff95e375729
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