Instructions to use LifeAi-dev/madlad400-7b-mt-ct2-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LifeAi-dev/madlad400-7b-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/madlad400-7b-mt-ct2-bfloat16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LifeAi-dev/madlad400-7b-mt-ct2-bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e2438435d8908e0b5a22b3b433714cf4345b88a72d75091d4f9a641dd10eb22
- Size of remote file:
- 4.43 MB
- SHA256:
- ef11ac9a22c7503492f56d48dce53be20e339b63605983e9f27d2cd0e0f3922c
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