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:
- 3bae810278c6660fbd0bc6ddd5bbb24f4d53da7865e71ca9bedf18cf76396068
- Size of remote file:
- 4.08 MB
- SHA256:
- be88e4a6237e7b1ed0f251d94d18c9791baeb40876afef4d1d8fef8cf56d4ec6
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