Translation
Transformers
Safetensors
PyTorch
Russian
Kazakh
t5
text2text-generation
russian
kazakh
text-generation-inference
Instructions to use deepvk/kazRush-kk-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepvk/kazRush-kk-ru with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="deepvk/kazRush-kk-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deepvk/kazRush-kk-ru") model = AutoModelForSeq2SeqLM.from_pretrained("deepvk/kazRush-kk-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from deepvk/kazRush-kk-ru: direct link, hf CLI and curl.
- Browser
- Download file 401 kB
-
https://huggingface.co/deepvk/kazRush-kk-ru/resolve/main/spiece.model
- Command line
-
hf download hf://deepvk/kazRush-kk-ru/spiece.model
-
curl -L -o spiece.model https://huggingface.co/deepvk/kazRush-kk-ru/resolve/main/spiece.model
401 kB
- Xet hash:
- 4450706633a4598935bbeea7c38d014a1de9ff008b6f6923c1ccbe2a208ca296
- Size of remote file:
- 401 kB
- SHA256:
- 377110f5fc7b44c69c6edbf6b0f2638fdb4398a6a942535cb323ca3b41cb99b0
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