Instructions to use rinkorn/marian-finetuned-kde4-en-to-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rinkorn/marian-finetuned-kde4-en-to-ru with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="rinkorn/marian-finetuned-kde4-en-to-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("rinkorn/marian-finetuned-kde4-en-to-ru") model = AutoModelForMultimodalLM.from_pretrained("rinkorn/marian-finetuned-kde4-en-to-ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e300b8a6054adf400dd0c00fa5f6450a83f266fa0c9480c482c7d288a6ade61
- Size of remote file:
- 4.86 kB
- SHA256:
- e0a2600adf7d619a601710997b88a9b2f9f772324c9f285bab962cfb3af5214d
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