Translation
Transformers
TensorBoard
Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Dangurangu/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 Dangurangu/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="Dangurangu/marian-finetuned-kde4-en-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dangurangu/marian-finetuned-kde4-en-to-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Dangurangu/marian-finetuned-kde4-en-to-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 061bfa16a6867e3939c50cbd35b4d19fb09a0d4f11bc0088506ca8e829774238
- Size of remote file:
- 299 MB
- SHA256:
- cb31b291e2759572b192eae6b6a288dbef3cf9f225b14b838e0a4906aeaa9e67
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