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:
- 1225082a84343a5bb43913f4159a9f459657d222f599e0ecfa527996dd26b7ff
- Size of remote file:
- 16.6 MB
- SHA256:
- dd431a3eac75d2e57d01c4b5ddc52c2c88ff1ec5b1c6fe00f828a5d38b32d0e5
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