Instructions to use WindyTranslate/translate-fi-mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-mk 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-mk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-mk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-mk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from WindyTranslate/translate-fi-mk: direct link, hf CLI and curl.
- Browser
- Download file 833 kB
-
https://huggingface.co/WindyTranslate/translate-fi-mk/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-fi-mk/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-fi-mk/resolve/main/source.spm
833 kB
- Xet hash:
- c13efa11aa81142241569012ce92c7dc8e52894b1da94a85bfc2cd564530324d
- Size of remote file:
- 833 kB
- SHA256:
- 9c3712c381a09a7919df45dda11a92e31627f87503d79c5008fb7a8290724865
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