Instructions to use LifeAi-dev/madlad400-3b-mt-ct2-float32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LifeAi-dev/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="LifeAi-dev/madlad400-3b-mt-ct2-float32")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LifeAi-dev/madlad400-3b-mt-ct2-float32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download shared_vocabulary.json from LifeAi-dev/madlad400-3b-mt-ct2-float32: direct link, hf CLI and curl.
- Browser
- Download file 5.48 MB
-
https://huggingface.co/LifeAi-dev/madlad400-3b-mt-ct2-float32/resolve/main/shared_vocabulary.json
- Command line
-
hf download hf://LifeAi-dev/madlad400-3b-mt-ct2-float32/shared_vocabulary.json
-
curl -L -o shared_vocabulary.json https://huggingface.co/LifeAi-dev/madlad400-3b-mt-ct2-float32/resolve/main/shared_vocabulary.json
5.48 MB
File too large to display, you can check the raw version instead.