Translation
Transformers
PyTorch
TensorBoard
Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use diana9m/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 diana9m/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="diana9m/marian-finetuned-kde4-en-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("diana9m/marian-finetuned-kde4-en-to-fr") model = AutoModelForSeq2SeqLM.from_pretrained("diana9m/marian-finetuned-kde4-en-to-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a8f8893073e966366fbf7ade62c42ff68fa0e3eacdd9a816a311773be8df208
- Size of remote file:
- 4.16 kB
- SHA256:
- 6792c06791174b13b0a408b66fc8657b8b2b061d28ff20f85021f6044b0fa852
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