Translation
Transformers
PyTorch
TensorFlow
Safetensors
English
Hebrew
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-big-he-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-he-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-he-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-he-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-he-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download benchmark_translations.zip from Helsinki-NLP/opus-mt-tc-big-he-en: direct link, hf CLI and curl.
- Browser
- Download file 1.43 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-he-en/resolve/main/benchmark_translations.zip
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-tc-big-he-en/benchmark_translations.zip
-
curl -L -o benchmark_translations.zip https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-he-en/resolve/main/benchmark_translations.zip
1.43 MB
- Xet hash:
- eaf3c53c26c3327ec955aecee10fbf16b120a360bef92910b0e965aeb3eb8b78
- Size of remote file:
- 1.43 MB
- SHA256:
- 5a33ae973188c6162ab85c4d0968b7cbf2824c978be8ff962ecf4227f3d3bb30
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