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:
- f01ad6276a5b568d40bda78b73197ded96593ef5dbde177003ecbdaef0c763e6
- Size of remote file:
- 142 kB
- SHA256:
- 0038800ba986e2fee824797babfa556680f82ba59f54a6f2f9858e3c0fa4e7b5
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