Instructions to use LifeAi-dev/madlad400-10b-ct2-float32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LifeAi-dev/madlad400-10b-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/madlad400-10b-ct2-float32")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LifeAi-dev/madlad400-10b-ct2-float32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 554ef7500a66cda11dc7120f96d98434ca6b64d287f4f594fbb2dbc866054853
- Size of remote file:
- 42.9 GB
- SHA256:
- 5e98a018d9f8a31e2089045d481729e77bbeed8fdfa75b00f2463732b305256c
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