Instructions to use WindyTranslate/translate-de-crs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-de-crs 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="WindyTranslate/translate-de-crs")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-de-crs") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-de-crs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94b934235575aec0a6107d4dd0ff58cebdb51fde435666856b43be9dee582da4
- Size of remote file:
- 862 kB
- SHA256:
- 6132ba003e7a3017300a8a736e947936b588ff207109dada97c4ae351fffcdd5
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