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:
- 09187d62e0c3fc8fe592210c249f216df5529433ca3a6d69b5bf36a3a6d104b2
- Size of remote file:
- 233 kB
- SHA256:
- 2853d4071acef25944fa02434e1afcf1aba5731608e1591b3bedb0c3f776f229
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