Instructions to use hf-internal-testing/tiny-random-NllbMoeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NllbMoeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-NllbMoeModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-NllbMoeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a13a18fc0ccb3d143a3b6384690181c551dc6d21e2d066385951234f58f27c6
- Size of remote file:
- 16.6 MB
- SHA256:
- c34b651e8bad0d12f0c8b526033a62437ced7cf051ba52360a1db26f8fd7a176
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