Instructions to use hf-internal-testing/tiny-random-MvpForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MvpForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MvpForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-MvpForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c44805c22046cb2988cc289ff1925d95987b5d480a0e6fc447857ace55c80bc
- Size of remote file:
- 123 kB
- SHA256:
- 352c7d30a615aa7fbe82d7580c1050c7ba70b8c736cf5927ed4ad347a1ca48b7
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