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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 214 Bytes
8cfcb8f | 1 2 3 4 5 6 7 8 9 10 11 | {
"decoder_start_token_id": 0,
"eos_token_id": 1,
"max_new_tokens": 1024,
"no_repeat_ngram_size": 3,
"num_beams": 5,
"pad_token_id": 0,
"repetition_penalty": 5.0,
"transformers_version": "4.36.2"
}
|