Instructions to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b-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-1b-fp8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b-fp8") model = AutoModelForCausalLM.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b-fp8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 671012ceebd22679190eb66a9d25063eb1f71aa24bb32e3be5738b18beaf90ce
- Size of remote file:
- 11.5 MB
- SHA256:
- 79497b3dc1dda87f3f53c0420b256ea492702e667a1371e884ef551bbe73ee0f
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