Instructions to use WindyWord/translate-fr-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-war 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-fr-war")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-war", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7135d4add2c1220a18530d3a9f9631c46a237ae909f7fd49b05e78a5604a787d
- Size of remote file:
- 843 kB
- SHA256:
- 15d0a08f74f884ea08a103ded6fe6ae64da390f05a84dd4164aa7f1f12bfab2b
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