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 target.spm from Helsinki-NLP/opus-mt-tc-base-zle-bat: direct link, hf CLI and curl.
- Browser
- Download file 828 kB
-
https://huggingface.co/Helsinki-NLP/opus-mt-tc-base-zle-bat/resolve/main/target.spm
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-tc-base-zle-bat/target.spm
-
curl -L -o target.spm https://huggingface.co/Helsinki-NLP/opus-mt-tc-base-zle-bat/resolve/main/target.spm
828 kB
- Xet hash:
- 6a8d0019fa7435dbb6ac234e2d0e08a11916bccca6bb80c1e8faa65220819f12
- Size of remote file:
- 828 kB
- SHA256:
- 107339f7b7525483951a3795ea4d12a2ac15a1337e5d4d04dddf95816ecd92ca
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