Instructions to use WindstormLabs/translate-en-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-bcl 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-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba7fde13dc23fb9b384f3446b289514d2dba5d5df1d07ef4357c40fa0b762711
- Size of remote file:
- 821 kB
- SHA256:
- af7d492e0d0dd93a7a3710dd86a8cce9dac03b0769e50317865659e70eaa13b3
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