Instructions to use hf-tiny-model-private/tiny-random-MarianMTModel 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-MarianMTModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MarianMTModel") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-MarianMTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29067df17a618df1ec79e7b612bb614a65cae6e6f938dbb26bbeca83a2eaac09
- Size of remote file:
- 4.01 MB
- SHA256:
- 0166bfa4faf6e93a407ddd2cae1930c1b0f5d2cbd3e3131e00890283cb7d0a33
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