Translation
Transformers
PyTorch
TensorFlow
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-itc-bat 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-itc-bat 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-itc-bat")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-itc-bat") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-itc-bat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37cead9fb6fa9e0f930080dab0885685c132d9c40b41bc1930c3f837c5935968
- Size of remote file:
- 4.05 MB
- SHA256:
- e76f14f4d7d7ff0e3c00ae5a5b8aa189e2e6aabb333cb68974dbdde225dbafc6
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