Instructions to use avans06/madlad400-7b-mt-bt-ct2-int8_float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avans06/madlad400-7b-mt-bt-ct2-int8_float16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("avans06/madlad400-7b-mt-bt-ct2-int8_float16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b00c77d1cfbe4d56d30f4abee8b26372b3c21a40dfbe1f479b3440306f2c8e5b
- Size of remote file:
- 8.31 GB
- SHA256:
- d3c10c239fb32e117727dd45c3a942de586bec88d7629c59f0204f923dadbfae
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