Instructions to use caskcsg/cotmae_base_msmarco_reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caskcsg/cotmae_base_msmarco_reranker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("caskcsg/cotmae_base_msmarco_reranker") model = AutoModelForSequenceClassification.from_pretrained("caskcsg/cotmae_base_msmarco_reranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c7195e7449ef558ee197757d43609260d26897a34c40b3e8e0644ea5e725fcc
- Size of remote file:
- 438 MB
- SHA256:
- 67c723bbd137764e36bd3c85af5dec668b395dc10ef24783371309fa14b5e610
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