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:
- b11187e0f68a3f0fabe3e495dd2c9c9ea8b209cbdf915459e9e1e2dd5d372eaf
- Size of remote file:
- 16.6 MB
- SHA256:
- de534adc1b54b825d9bb0c524856c3ba16875ac20ba1efa225296c2ec4271916
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