Instructions to use WindyTranslate/translate-fi-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-tr 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-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-tr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea057f1334a8b61dbd7c4189740e29c39f7747621ed76dbf786adcd137dab262
- Size of remote file:
- 827 kB
- SHA256:
- 2622067b0be4977ae51384e8f13c1aa0419ccac066edc21bc70ee48e5035d4b6
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