Instructions to use WindyTranslate/translate-fr-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fr-pag 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-fr-pag")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fr-pag") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fr-pag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eaf590d19df4f30ebd6703bf40e354c90182b6f5d902772b7e0366798e56ab5b
- Size of remote file:
- 843 kB
- SHA256:
- 5e82973b2f58fb821e1a343b8108a48fd910f53e8d52f118eb5e83e2b6b95f59
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