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:
- bcff18e89107ffaeb4a16bc31c658a5d89e3195b22636a61ff6ee42a7d2b5ef3
- Size of remote file:
- 3.78 MB
- SHA256:
- 6ab111f68ccf99a18632fd32b96b59dd4bdf1902bd6d3634c193c147440df59e
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