Instructions to use cmarkea/bloomz-3b-reranking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmarkea/bloomz-3b-reranking with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cmarkea/bloomz-3b-reranking") model = AutoModelForSequenceClassification.from_pretrained("cmarkea/bloomz-3b-reranking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c21e9666e897e46d97ee9f1fe6ad56639936c0ff441d032978a49bb0e0fd08a
- Size of remote file:
- 14.5 MB
- SHA256:
- 17a208233d2ee8d8c83b23bc214df737c44806a1919f444e89b31e586cd956ba
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