Instructions to use BIackBIock/marian-finetuned-opus100-en-to-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BIackBIock/marian-finetuned-opus100-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="BIackBIock/marian-finetuned-opus100-en-to-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BIackBIock/marian-finetuned-opus100-en-to-ru") model = AutoModelForSeq2SeqLM.from_pretrained("BIackBIock/marian-finetuned-opus100-en-to-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BIackBIock/marian-finetuned-opus100-en-to-ru: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/BIackBIock/marian-finetuned-opus100-en-to-ru/resolve/main/training_args.bin
- Command line
-
hf download hf://BIackBIock/marian-finetuned-opus100-en-to-ru/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BIackBIock/marian-finetuned-opus100-en-to-ru/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- 92e8a410973fe0ecc5bd50ff0cff6257efd8d4cef4b7bc06fba5ea67201f39c7
- Size of remote file:
- 5.33 kB
- SHA256:
- 1ad314eac58891125f695b17012f061514fa24f4e47c716fa61e6324aef6f2bb
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