Instructions to use Tanhim/translation-En2De with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanhim/translation-En2De 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="Tanhim/translation-En2De")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tanhim/translation-En2De") model = AutoModelForSeq2SeqLM.from_pretrained("Tanhim/translation-En2De") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on wmt19 dataset
#1
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the wmt19 dataset by @lewtun , using the predictions stored here.
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Evaluate your model on more datasets here.