Instructions to use WindyTranslate/translate-fi-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-de 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-fi-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-de") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e68a85f5768c818556b49062852a6f2f027b5bc38de4aba932532798725e6f5
- Size of remote file:
- 846 kB
- SHA256:
- 61fd923d01de44a031300ac59ac6764e4de0c4aa654e7a5da68b5eb8eac0bf6f
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