Instructions to use WindyWord/translate-en-rnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-rnd 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="WindyWord/translate-en-rnd")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-rnd", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c5e9939e501b9711834356f00cb30d3c34903c5ca88e3d0c6a8216fa84806a8
- Size of remote file:
- 73.8 MB
- SHA256:
- bb2a8ec75e5ba02e7e398cbcfc9e4f329c9ed1483ef0a88fc349eb35e5cc413a
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