Instructions to use jbmkmbrlb/madlad400-3b-mt-ct2-float32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbmkmbrlb/madlad400-3b-mt-ct2-float32 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="jbmkmbrlb/madlad400-3b-mt-ct2-float32")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jbmkmbrlb/madlad400-3b-mt-ct2-float32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K