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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffc269204597d93c4b140894d4dea9e60e5ea6096798203423eb4f1901cb7063
- Size of remote file:
- 3.99 MB
- SHA256:
- 5fbd96f5edb9ad4a987808b451b7a31335c3c28b5e9b3cd6a0726dd31a783da4
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