Translation
Transformers
PyTorch
TensorBoard
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Patt/fine-tuned_ar-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patt/fine-tuned_ar-en 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="Patt/fine-tuned_ar-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patt/fine-tuned_ar-en") model = AutoModelForSeq2SeqLM.from_pretrained("Patt/fine-tuned_ar-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 739137d15f5e46ee99111b822125097ad69225369619bdecc7f2f675bf41dc5d
- Size of remote file:
- 802 kB
- SHA256:
- 156cae4f035ba812224e79d71626802a07296a3ad2ea5c6bc1f2cb35420dfeb4
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