Instructions to use hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-NllbMoeForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c35effcf06836d25e6b09975675c4ddbfc2d392279aa927057b82eeda5c0190
- Size of remote file:
- 234 kB
- SHA256:
- 828580e1f2a31f711e5ec7a3e9b20450d3144fb090b5416622baf9369957df4b
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