Instructions to use WindyTranslate/translate-afa-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-afa-en 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-afa-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-afa-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-afa-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1fef6eb9fbc7a9ec6a91cb2d1e91b46f94e4ec5b16c5ee6f8136f4025a534ec
- Size of remote file:
- 832 kB
- SHA256:
- 87009801c2fb30fe70853d92be921285256cd59dd1b5d9f443224fb6d51678f9
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