Instructions to use hf-internal-testing/tiny-random-MBartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MBartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-MBartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 605698c482cd8270975d1bcf6cc652c17f4033e5b3e0846ac4a45f706a6ec240
- Size of remote file:
- 17.1 MB
- SHA256:
- 91b693297c757ee3fefcdfc776dd9e8a0919f1d8f99121ed1fc905bd88f0d4f6
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