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:
- 920101d231c12b701938b22fec4e9b9adfe7696fdbcb1117087ab750826fab2f
- Size of remote file:
- 824 kB
- SHA256:
- d35b299b86efbeb8ead80f6f9cb290d86c7281161bad00ac4860da74342e99be
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