Instructions to use WindyTranslate/translate-to-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-to-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-to-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-to-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-to-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-to-fr, with attribution and change statement
210e6e4 verified - Xet hash:
- aeca4844f0e8d120e15dfb89f9280cc0c6b0bb0213c6cc6cd6bfb7658a51e2ce
- Size of remote file:
- 783 kB
- SHA256:
- 8af165c964849879265add89c623121c9d70cc0411c18fb2a5f693e2d8823f94
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