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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d87e6a2558b9a4cd7cf8cb0f2296a5c0e6711758701a44bb669f26da250f5faa
- Size of remote file:
- 3.76 MB
- SHA256:
- d6d1a2b7d2b7a45026b0413c8d3715a1d615670e612c386be1a3aa84db53b8eb
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