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:
- b18dad6ed16bf08a9ec7f34e80777cbbde889c240d44aea05d7236faddce168e
- Size of remote file:
- 837 kB
- SHA256:
- b8f47ea6f62f72021654522ef3e88628c1da11ee3963f3c438623d5d883e98c5
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