Instructions to use hf-tiny-model-private/tiny-random-MBartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MBartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-MBartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f26aba92970ce7749aa41c10b089bab7ae934898f23211718fa5e9db996863f6
- Size of remote file:
- 17.2 MB
- SHA256:
- 1d78a1cc4179ef2e35e014c4ecc2724c104dbe0ce735964958ff3797c81346d8
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