Instructions to use WindyTranslate/translate-fi-sk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-sk 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-sk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-sk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-sk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 31
Model tree for WindyTranslate/translate-fi-sk
Base model
Helsinki-NLP/opus-mt-fi-sk