Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-gmw-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-bible-big-gmw-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-bible-big-gmw-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-gmw-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-gmw-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download benchmark_results.txt from Helsinki-NLP/opus-mt-tc-bible-big-gmw-en: direct link, hf CLI and curl.
- Browser
- Download file 72 Bytes
-
https://huggingface.co/Helsinki-NLP/opus-mt-tc-bible-big-gmw-en/resolve/main/benchmark_results.txt
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-tc-bible-big-gmw-en/benchmark_results.txt
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curl -L -o benchmark_results.txt https://huggingface.co/Helsinki-NLP/opus-mt-tc-bible-big-gmw-en/resolve/main/benchmark_results.txt
72 Bytes
| multi-eng tatoeba-test-v2020-07-28-v2023-09-26 0.70028 52.6 10000 84720 | |