Instructions to use carnival13/checkpoint-570 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carnival13/checkpoint-570 with Transformers:
# Load model directly from transformers import AutoTokenizer, ReRanker tokenizer = AutoTokenizer.from_pretrained("carnival13/checkpoint-570") model = ReRanker.from_pretrained("carnival13/checkpoint-570", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cef266aefce368e70350d7435d63e64392d55935e785ec96ec6c5cddd6ad049
- Size of remote file:
- 1.11 GB
- SHA256:
- 1b37b1a20e21e35d74f842730eefeadd196337de48a2b6741b6105ff5a86066c
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