Instructions to use Den4ikAI/ruT5-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruT5-micro with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruT5-micro") model = AutoModelForSeq2SeqLM.from_pretrained("Den4ikAI/ruT5-micro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Den4ikAI/ruT5-micro: direct link, hf CLI and curl.
- Browser
- Download file 150 MB
-
https://huggingface.co/Den4ikAI/ruT5-micro/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Den4ikAI/ruT5-micro/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Den4ikAI/ruT5-micro/resolve/main/pytorch_model.bin
150 MB
- Xet hash:
- ec5868481e8cf11811fc441561fd3fe99389047b21ff543d4f669d65f95cbeda
- Size of remote file:
- 150 MB
- SHA256:
- 34b2feac6bcaac0f83c3ae3cee1ac1af29e36cc7a75193c1634a756a4a36db59
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