Instructions to use Helsinki-NLP/opus-mt-fr-tn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-tn 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-fr-tn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-tn") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-tn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e4259d45979e8089e32d0b0f39da672398c5281ae12eab2514b12ff067c7398
- Size of remote file:
- 302 MB
- SHA256:
- 11796e3d5abb97ea301b92beb4cf44bcdb14effa6740b3b98f985b790db5e218
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