Instructions to use Cathy/reranking_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cathy/reranking_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cathy/reranking_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cathy/reranking_model") model = AutoModelForSequenceClassification.from_pretrained("Cathy/reranking_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53678e696769b7780d581f295e6d1a082c03fc15d8c994d82df9e08a66de109f
- Size of remote file:
- 1.42 GB
- SHA256:
- 3ae5760c2cd564499419f91c868033eaf11ec16a7a712180f9325e880dcc83e1
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