Instructions to use hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration 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-NllbMoeForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-NllbMoeForConditionalGeneration", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a0c46570543a04b12bbc2580a3d6967e936f764fc82577cd70f72fa697821ea
- Size of remote file:
- 17.3 MB
- SHA256:
- 61d9fa2a120c698d4811baf67ead672fbed532a54c6e1ce4bd7efea26d327429
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