Instructions to use WindyWord/translate-tll-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tll-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="WindyWord/translate-tll-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tll-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb9632930af80190f750ef21ac3671d6e291d245fe3b278cceb94c2d48651e83
- Size of remote file:
- 77.2 MB
- SHA256:
- 2fa34b9e73ea39469f75babb1ac23e4c565fa02942f89ad07a45309025e7eaff
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