Instructions to use WindyTranslate/translate-en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-fr 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-en-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download target.spm from WindyTranslate/translate-en-fr: direct link, hf CLI and curl.
- Browser
- Download file 802 kB
-
https://huggingface.co/WindyTranslate/translate-en-fr/resolve/9dcf41f9028963bc1fb8111b5abcbd4b2b9d75b7/target.spm
- Command line
-
hf download hf://WindyTranslate/translate-en-fr@9dcf41f9028963bc1fb8111b5abcbd4b2b9d75b7/target.spm
-
curl -L -o target.spm https://huggingface.co/WindyTranslate/translate-en-fr/resolve/9dcf41f9028963bc1fb8111b5abcbd4b2b9d75b7/target.spm
802 kB
- Xet hash:
- bc21a53c250d5bced13fc937479c3fb6edae5a62ccfb18ef7539a311a69c328b
- Size of remote file:
- 802 kB
- SHA256:
- 78d0e717c77053f1c4b856d8661d9cb87c64f083a35418c087b9146300e4f585
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