Instructions to use google/madlad400-3b-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/madlad400-3b-mt 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="google/madlad400-3b-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/madlad400-3b-mt") model = AutoModelForSeq2SeqLM.from_pretrained("google/madlad400-3b-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Listed on OpenModelMap
#12
by duola15 - opened
Listed on OpenModelMap — open-source model discovery engine.
madlad400 3b mt: benchmarks, deploy commands, hardware matching, license info — in one place: