Instructions to use WindyTranslate/translate-crs-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-crs-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-crs-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-crs-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-crs-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa5cc60e43c83e787c24ebef449cd2030f2e7aa7ab9c14b766c744fa25648ae5
- Size of remote file:
- 552 kB
- SHA256:
- d87d6c32f12203c1c13fcf3e5064b9959bf195d58531872812036057437879a5
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