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:
- 73c16bf34366b4259b52c78917a448a6875313cb630969249e5e76df00d9145f
- Size of remote file:
- 16.6 MB
- SHA256:
- 44a8551d2687ec61e81be3f90fb52b0d5c8991acd5e977049fc1955323fa5553
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