Instructions to use under-tree/transformer-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use under-tree/transformer-en-ru with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("under-tree/transformer-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("under-tree/transformer-en-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from under-tree/transformer-en-ru: direct link, hf CLI and curl.
- Browser
- Download file 803 kB
-
https://huggingface.co/under-tree/transformer-en-ru/resolve/main/source.spm
- Command line
-
hf download hf://under-tree/transformer-en-ru/source.spm
-
curl -L -o source.spm https://huggingface.co/under-tree/transformer-en-ru/resolve/main/source.spm
803 kB
This file contains binary data. It cannot be displayed, but you can still download it.