Translation
Transformers
PyTorch
Safetensors
Turkish
Ukrainian
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-base-uk-tr 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-uk-tr 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-uk-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-base-uk-tr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-base-uk-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-tc-base-uk-tr: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-tc-base-uk-tr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-tc-base-uk-tr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-tc-base-uk-tr/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 928813f0d003924556527b471a7aa133c429556f067454d38d85994bf1ea5b51
- Size of remote file:
- 151 MB
- SHA256:
- 74ee860e2e88f0948025e839c518aef9a65921aeacc31014352d36fab1d77553
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