Instructions to use Helsinki-NLP/opus-mt-tw-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tw-fr 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-tw-fr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tw-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tw-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-tw-fr: direct link, hf CLI and curl.
- Browser
- Download file 302 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-tw-fr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-tw-fr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-tw-fr/resolve/main/pytorch_model.bin
302 MB
- Xet hash:
- b4d35723cd664b52b0a55ff25e81695bbc6880f56b58fd230f90dc31e8191bac
- Size of remote file:
- 302 MB
- SHA256:
- 6123b17a96a5bdd3e20746d732c119f3d9d49fc60daafb07268ae777adc9caf0
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