Instructions to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 183feaf3854ea652c1087520f20fdc39282f652edf10541e6904a3d3f975425e
- Size of remote file:
- 17.1 MB
- SHA256:
- b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
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