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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tanhim/translation-En2De") model = AutoModelForSeq2SeqLM.from_pretrained("Tanhim/translation-En2De", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from Tanhim/translation-En2De: direct link, hf CLI and curl.
- Browser
- Download file 768 kB
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https://huggingface.co/Tanhim/translation-En2De/resolve/refs%2Fpr%2F1/source.spm
- Command line
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hf download hf://Tanhim/translation-En2De@refs/pr/1/source.spm
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curl -L -o source.spm https://huggingface.co/Tanhim/translation-En2De/resolve/refs%2Fpr%2F1/source.spm
768 kB
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