Instructions to use LifeAi-dev/madlad400-10b-mt-ct2-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LifeAi-dev/madlad400-10b-mt-ct2-bfloat16 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/madlad400-10b-mt-ct2-bfloat16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LifeAi-dev/madlad400-10b-mt-ct2-bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa0e8413259ea0f485c65a683f8f087985cf8c82aba25d38d8281c4b44011689
- Size of remote file:
- 21.4 GB
- SHA256:
- 72f3dbf66c16e5008154b5bdc2778ffa3b4f663e005ada92443756e71708e712
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