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:
- 0fa450756689c612699a5e06dd891f156989733ca0737020677466f0a3001bfd
- Size of remote file:
- 16.6 MB
- SHA256:
- 703b0d86a76befc39fd82457124492c2c3ffc3630d8242f17cb148c357760794
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