Instructions to use WindyTranslate/translate-war-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-war-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-war-fi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-war-fi") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-war-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-war-fi, with attribution and change statement
725744c verified Download source.spm from WindyTranslate/translate-war-fi: direct link, hf CLI and curl.
- Browser
- Download file 814 kB
-
https://huggingface.co/WindyTranslate/translate-war-fi/resolve/main/source.spm
- Command line
-
hf download hf://WindyTranslate/translate-war-fi/source.spm
-
curl -L -o source.spm https://huggingface.co/WindyTranslate/translate-war-fi/resolve/main/source.spm
814 kB
- Xet hash:
- 37584517b187535e0ee9b30ececa6875cb3c23a1b4ebd936dac67fcd8f8173cb
- Size of remote file:
- 814 kB
- SHA256:
- 5eb1c20d8cf3d64432ef79f31fcf3d75bc45c91e40cfccbbe04171d186aae3d5
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