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:
- 7235067fc8acefe196f7ecc9e6c573d6a3d854f08b76c06a0c32d127b5fe8e72
- Size of remote file:
- 16.6 MB
- SHA256:
- 6306d722ad3c820c1477bd2c8fb063d791c5db76254b09a7bd01b13d20482572
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