Instructions to use krishnakamath/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 krishnakamath/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="krishnakamath/marian-finetuned-kde4-en-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("krishnakamath/marian-finetuned-kde4-en-to-fr") model = AutoModelForSeq2SeqLM.from_pretrained("krishnakamath/marian-finetuned-kde4-en-to-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93463c6771527ecd3fcfa9e5ff0f2d642ed09d480c21285d30d4cd46f43a6041
- Size of remote file:
- 299 MB
- SHA256:
- 4a5b1964e6cbe093a1b8cccd99b58a3a2f1b75a96216af1dc7181bd24cf26060
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