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-en-lt 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-en-lt 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-en-lt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-lt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-en-lt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 437a1eecadeda34ea124865cd28824c7155d0d1eee4159269e58f028642e6fb0
- Size of remote file:
- 1.08 MB
- SHA256:
- aef0fb7e466c9ee1ff2b5a495acd402ed7a5dcd288aef865dba427fde7dbe248
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