Instructions to use WindyTranslate/translate-fi-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fi-cs 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-cs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fi-cs") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fi-cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from WindyTranslate/translate-fi-cs: direct link, hf CLI and curl.
- Browser
- Download file 831 kB
-
https://huggingface.co/WindyTranslate/translate-fi-cs/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-fi-cs/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-fi-cs/resolve/main/source.spm
831 kB
- Xet hash:
- 7c088d72ea37c719b8c644dd06d7b95dea394bfe01d75a9d6012845c2186c3b5
- Size of remote file:
- 831 kB
- SHA256:
- fe85ef1abdbe53d65ced82d7debebfbb8fd62797a14aab148fe9cf640f9c2ec0
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