Instructions to use WindstormLabs/translate-chk-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-chk-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="WindstormLabs/translate-chk-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-chk-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5917a87fb1922c4729b6f9ce623fcd12299b77c2556c3bff43204591bba3763f
- Size of remote file:
- 75.1 MB
- SHA256:
- 966b278abf19b9508325cf9ef68d1c95c90ba449a32a5441aa57a464b806c753
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