Instructions to use HolmesS/marian-finetuned-kde4-en-to-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HolmesS/marian-finetuned-kde4-en-to-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="HolmesS/marian-finetuned-kde4-en-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HolmesS/marian-finetuned-kde4-en-to-fr") model = AutoModelForSeq2SeqLM.from_pretrained("HolmesS/marian-finetuned-kde4-en-to-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7e7165a2b366acd4c82a11737f799cd049f92ac053d05fff0a83b85fd8a6344
- Size of remote file:
- 299 MB
- SHA256:
- fe294b7bc8aaa24184e318fe89e590f1035bf3f9a9eadceaf66a3ce6d755350d
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