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:
- 1a66c9b64edd953902f6797e61aa6c9e2bfce9818907c781710efe4b816e4252
- Size of remote file:
- 4.79 kB
- SHA256:
- fe9c19b15f3b0d561b55945e78adde187ab2d2282fd331be1e1facab7443924b
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