Instructions to use sp-embraceable/Colbert-Reranker-FT-2000steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sp-embraceable/Colbert-Reranker-FT-2000steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sp-embraceable/Colbert-Reranker-FT-2000steps")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sp-embraceable/Colbert-Reranker-FT-2000steps") model = AutoModelForSequenceClassification.from_pretrained("sp-embraceable/Colbert-Reranker-FT-2000steps") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
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