Translation
Transformers
Safetensors
Chinese
Russian
marian
text2text-generation
opus-mt
mnn
android
on-device
Instructions to use Hosstia/opus-mt-zh-ru-opus-mp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hosstia/opus-mt-zh-ru-opus-mp 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="Hosstia/opus-mt-zh-ru-opus-mp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hosstia/opus-mt-zh-ru-opus-mp") model = AutoModelForSeq2SeqLM.from_pretrained("Hosstia/opus-mt-zh-ru-opus-mp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload special_tokens_map.json with huggingface_hub
Browse files- special_tokens_map.json +23 -0
special_tokens_map.json
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{
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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