Instructions to use WindstormLabs/translate-en-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-sv 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="WindstormLabs/translate-en-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a8dc80ded062fbec55cafc377a921058cc15db22332b8597bc8fa3dac2315c6
- Size of remote file:
- 790 kB
- SHA256:
- 70d69a2c08a7a2c18e4529c8ff62886aad2f8fd0e94fedeafe4bafc47a5f0d69
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