Translation
Transformers
PyTorch
TensorFlow
Safetensors
English
Lithuanian
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-lt-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-big-lt-en 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="Helsinki-NLP/opus-mt-tc-big-lt-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-lt-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-lt-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d2be48a3918b26e5aef37b7dee91b6e4d274e450631cd61c3ab468a7a41c4ad
- Size of remote file:
- 473 MB
- SHA256:
- c25fc239ded22087084e55900bc0aecaa23224225b1469a11ff1babb21b84275
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