Instructions to use smartpim/k2t_ru_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smartpim/k2t_ru_01 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smartpim/k2t_ru_01") model = AutoModelForSeq2SeqLM.from_pretrained("smartpim/k2t_ru_01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from smartpim/k2t_ru_01: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/smartpim/k2t_ru_01/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://smartpim/k2t_ru_01/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/smartpim/k2t_ru_01/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 3ec37d58efd134d0cd901dbcda21afd7090120e0c67d594761218e8fb22c641d
- Size of remote file:
- 242 MB
- SHA256:
- 80ce06a31ef30fb507c395f22765e8a0dbff61b5097a1ab2895b1d2b8ef71280
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