Instructions to use hf-tiny-model-private/tiny-random-MarianModel 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-MarianModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-MarianModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MarianModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MarianModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acac36ee33a1c6eb8209fa60cb029eb7c0d66635ed90dc55a1a86d2aeaf45955
- Size of remote file:
- 768 kB
- SHA256:
- 678f2a1177d8389f67b66299762dcc4fc567e89b07e212ba91b0c56daecf47ce
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