Instructions to use WindyTranslate/translate-rnd-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-rnd-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-rnd-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-rnd-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-rnd-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-rnd-fr, with attribution and change statement
fd823aa verified - Xet hash:
- c7e73e943a373ef9ab616ea5646bd376a4a00a94a13acbca3e4606d0644143b5
- Size of remote file:
- 823 kB
- SHA256:
- ca66a4409e4f7797b41ab6fae30c8c6577d5f07eb7ae39acbe878cc7dbf874b6
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