Instructions to use hf-internal-testing/tiny-random-MarianModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MarianModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MarianModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MarianModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-MarianModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77b0ee6ab73649838a527e567d40b3f1a2922d5ebe82731ca2f146a5c037314e
- Size of remote file:
- 3.85 MB
- SHA256:
- 92bc8418eebdb1bc054e33564a5bfeda48190ac89e30fed0442d4656e61bff79
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