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")# 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
- Xet hash:
- d79fdeb779fdf67059b9c733019d62b322998126a0338e09ff806496029030a1
- Size of remote file:
- 11.8 GB
- SHA256:
- fb051d261e2dd19899b80c248bf07c5b48c72b6c3a62cbea585c1b157ec87a74
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