| license: mit | |
| # pascalhuerten/bge_reranker_skillfit | |
| This is a finetuning of **BAAI/bge-reranker-base** on a german dataset containing positive and negative skill labels and learning outcomes of courses as the query. | |
| This model is trained to perform well on calculating relevance scores for learning outcome and esco skill pairs in german language. | |
| ## Using FlagEmbedding | |
| ``` | |
| pip install -U FlagEmbedding | |
| ``` | |
| Get relevance scores (higher scores indicate more relevance): | |
| ```python | |
| from FlagEmbedding import FlagReranker | |
| reranker = FlagReranker('pascalhuerten/bge_reranker_skillfit', use_fp16=True) # Setting use_fp16 to True speeds up computation with a slight performance degradation | |
| scores = reranker.compute_score([['Einführung in die Arbeitsweise von WordPress', 'WordPress'], ['Einführung in die Arbeitsweise von WordPress', 'Software für Content-Management-Systeme nutzen'], ['Einführung in die Arbeitsweise von WordPress', 'Website-Sichtbarkeit erhöhen']]) | |
| print(scores) | |
| ``` |