Translation
Transformers
Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use kannt-im/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 kannt-im/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="kannt-im/marian-finetuned-kde4-en-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kannt-im/marian-finetuned-kde4-en-to-fr") model = AutoModelForSeq2SeqLM.from_pretrained("kannt-im/marian-finetuned-kde4-en-to-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from kannt-im/marian-finetuned-kde4-en-to-fr: direct link, hf CLI and curl.
- Browser
- Download file 803 kB
-
https://huggingface.co/kannt-im/marian-finetuned-kde4-en-to-fr/resolve/main/source.spm
- Command line
-
hf download hf://kannt-im/marian-finetuned-kde4-en-to-fr/source.spm
-
curl -L -o source.spm https://huggingface.co/kannt-im/marian-finetuned-kde4-en-to-fr/resolve/main/source.spm
803 kB
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