Translation
Transformers
PyTorch
TensorFlow
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-base-zle-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-base-zle-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-base-zle-bat")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-base-zle-bat") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-base-zle-bat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Helsinki-NLP/opus-mt-tc-base-zle-bat: direct link, hf CLI and curl.
- Browser
- Download file 306 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-tc-base-zle-bat/resolve/main/tf_model.h5
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-tc-base-zle-bat/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Helsinki-NLP/opus-mt-tc-base-zle-bat/resolve/main/tf_model.h5
306 MB
- Xet hash:
- e2fe1ceab74cf7ae3cc8ecd5dfd02fcad0ed276127884334a326fb7c2d4e160e
- Size of remote file:
- 306 MB
- SHA256:
- 7eab08946f8e50c20bd1e0ef21e90a2af5e0ecf7d5b587238f1ea868153bcf61
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