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:
- ee19e758d4665646ece9a4f17857723f8e8482a3e0eba6b8b0c568f7e3235215
- Size of remote file:
- 16.5 MB
- SHA256:
- ce79a189f066e61e23bdde7df405d387c980fabdbf85fdec6c07a3cf245baf46
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