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")# pip install -U transformers accelerate # 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 model.safetensors from WindyTranslate/translate-en-fr: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/WindyTranslate/translate-en-fr/resolve/main/model.safetensors
- Command line
-
hf download hf://WindyTranslate/translate-en-fr/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/WindyTranslate/translate-en-fr/resolve/main/model.safetensors
299 MB
- Xet hash:
- 78d35380755ea0a419c39c405f944abd092ca8701d153480caf4453df1f23047
- Size of remote file:
- 299 MB
- SHA256:
- 7067a60a4d4e735f76f4609d13a32291d94c4d8127a9bcad99c52b227fd3ea9e
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