Instructions to use WindyTranslate/translate-mk-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-mk-fi 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-mk-fi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-mk-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-mk-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-mk-fi, with attribution and change statement
b1afc59 verified Download source.spm from WindyTranslate/translate-mk-fi: direct link, hf CLI and curl.
- Browser
- Download file 1 MB
-
https://huggingface.co/WindyTranslate/translate-mk-fi/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-mk-fi/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-mk-fi/resolve/main/source.spm
1 MB
- Xet hash:
- b031ea33d15df9c8cd63f0efd31fc893d7275aeaa6c187ee69cd6907ff250722
- Size of remote file:
- 1 MB
- SHA256:
- 1dc26f4a5fb345db80e4ed503e8e9ff63b84a867c9ff8d5939d37f6f39d5fc75
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