Translation
Transformers
Safetensors
Russian
Chinese
English
t5
text2text-generation
text-generation-inference
Instructions to use utrobinmv/t5_translate_en_ru_zh_large_1024_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utrobinmv/t5_translate_en_ru_zh_large_1024_v2 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="utrobinmv/t5_translate_en_ru_zh_large_1024_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("utrobinmv/t5_translate_en_ru_zh_large_1024_v2") model = AutoModelForSeq2SeqLM.from_pretrained("utrobinmv/t5_translate_en_ru_zh_large_1024_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8edebb38966bc4d26afb46b10fd65d7003b0c347b255790f0a419b530009b331
- Size of remote file:
- 1.47 MB
- SHA256:
- cbb5a7cb9508c44b13d02d3d08d46d5707b69b7bd9ee0b9453d43bd36f4246ed
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