Instructions to use WindyTranslate/translate-en-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-inc 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-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-inc") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25fa65a5fa3c165e684245e27fc74acd92c99aec5597d876ad494bdd95f631c3
- Size of remote file:
- 802 kB
- SHA256:
- 42579d7e10efa316d46046d93b32ec58575741d43e86cd54edd5382e7c0ebcfb
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