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:
- b2ff3fda76a45c8f8752605e7adb4e89d387e2de50b2002fd643a6a10bad414e
- Size of remote file:
- 16.6 MB
- SHA256:
- 89df454a2bd04a1d5b1d65f9008b440b67c5d1eacb6212a3ff9e18ba694b2308
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