Instructions to use hf-tiny-model-private/tiny-random-NllbMoeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NllbMoeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-NllbMoeModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-NllbMoeModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba1f4fc965f3a3349994f82c4c97c91eee1ed70dd91befd488ef98b314c57909
- Size of remote file:
- 4.85 MB
- SHA256:
- 14bb8dfb35c0ffdea7bc01e56cea38b9e3d5efcdcb9c251d6b40538e1aab555a
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