Translation
Transformers
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English
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text2text-generation
LiteRT
Helsinki-NLP/tatoeba
openlanguagedata/flores_plus
teradata
Instructions to use Teradata/opus-mt_tiny_eng-ell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/opus-mt_tiny_eng-ell 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-ell")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Teradata/opus-mt_tiny_eng-ell") model = AutoModelForSeq2SeqLM.from_pretrained("Teradata/opus-mt_tiny_eng-ell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
[#159] Remove int8 ONNX artifact (rollback per OOD failure verdict)
Browse files- onnx/model-int8.onnx +0 -3
onnx/model-int8.onnx
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