Translation
Transformers
ONNX
Safetensors
English
Russian
marian
text2text-generation
LiteRT
Helsinki-NLP/tatoeba
openlanguagedata/flores_plus
teradata
Instructions to use Teradata/opus-mt_tiny_eng-rus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/opus-mt_tiny_eng-rus 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="Teradata/opus-mt_tiny_eng-rus")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Teradata/opus-mt_tiny_eng-rus") model = AutoModelForSeq2SeqLM.from_pretrained("Teradata/opus-mt_tiny_eng-rus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9d5c4aefef1715a25e942c4bad28f03b70fe05038101b2346be361443062a38
- Size of remote file:
- 177 MB
- SHA256:
- c7580aa07244c05884dc8088adaf818430fb1a1972165c9764a939c104b65f0f
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