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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MvpForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-MvpForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b3cc2a58781c05450e98abc391a619c879530d185a2cae737074336c73e6fcc
- Size of remote file:
- 142 kB
- SHA256:
- f0072de33930cdbd0172776f5b9b28a2e4e3e934681914e82a7e381f3a394c96
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