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:
- 81def39a90e38d98ba5689bcf85ec7e9e76e0a7a19444875391cf6d4419c8b6f
- Size of remote file:
- 16.6 MB
- SHA256:
- e2453c316bef4ebfeab25ed70d7fd32cacd4371ad25d6670559c552247c810e8
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