Instructions to use alexantonov/ru-chv-marian-bt-3m-768d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexantonov/ru-chv-marian-bt-3m-768d with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alexantonov/ru-chv-marian-bt-3m-768d") model = AutoModelForSeq2SeqLM.from_pretrained("alexantonov/ru-chv-marian-bt-3m-768d", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alexantonov/ru-chv-marian-bt-3m-768d: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/alexantonov/ru-chv-marian-bt-3m-768d/resolve/main/training_args.bin
- Command line
-
hf download hf://alexantonov/ru-chv-marian-bt-3m-768d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alexantonov/ru-chv-marian-bt-3m-768d/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- d7db3e7ba7e79292fdfbae7554986f6b8ca44324da71a35ddde13066f636f23d
- Size of remote file:
- 4.98 kB
- SHA256:
- 668592c8fb8ac129808429345b7feccc3dc039fe68a23fad7e8330e6fe0db763
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