Instructions to use hf-internal-testing/tiny-random-MarianModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MarianModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MarianModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MarianModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MarianModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccc4482f18ac6ef811e8c470b77e72dddc619168971ab0f830f73f17c10e7868
- Size of remote file:
- 3.84 MB
- SHA256:
- 46ec34403485dadd65a2505ea017c7ad5fc97fa51f82b0502ef9642969381984
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