Instructions to use smartpim/k2t_ru_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smartpim/k2t_ru_02 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smartpim/k2t_ru_02") model = AutoModelForSeq2SeqLM.from_pretrained("smartpim/k2t_ru_02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from smartpim/k2t_ru_02: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/smartpim/k2t_ru_02/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://smartpim/k2t_ru_02/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/smartpim/k2t_ru_02/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 9964469e0b59efa8e107ea141ec4a4e3ed66d7337c193dee305cc8af026e2ab4
- Size of remote file:
- 242 MB
- SHA256:
- d90ef5804c9cdcf60db26974d8982f448a5fb2a9c15238350f69e62614ecdd46
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