Instructions to use WindyTranslate/translate-en-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-uk 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-en-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-uk") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3f70dd43ef8ced94fa57e0d85fefd1005073341fb5fb3f621718a287ff62a21
- Size of remote file:
- 809 kB
- SHA256:
- 4dc9157e60a15b157c2f3d5f892379b03aed111c9fe8ac7cecba5f2aa56379ef
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