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:
- 881d6e52bda62719f7bf66ebc5b89d7fd612b8711ee3740120c68ce289671344
- Size of remote file:
- 16.6 MB
- SHA256:
- 23f58e92b3965af05d5895ade70844c948d4981ef94ca349cddb1daa86b679ae
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