Comments (1)
你好,这是我们算法的核心创新点 - “绝对”分数,既能rerank,又能过滤低质量passage
#15 (comment)
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Related Issues (20)
- embedding model最长只512的输入长度吗 HOT 9
- Use in LlamaIndex the BCEReranker import error HOT 3
- 请问有计划出更大块长度支持的的模型吗? HOT 2
- AttributeError: 'SequenceClassifierOutput' object has no attribute 'last_hidden_state' HOT 5
- 请问我用的langchain的调用方法,但是切分是按照换行符切分的,加入有文本块超过512了模型是会报错还是直接对前512个字做想向量化呀 HOT 2
- reranker 有api接口可以调用吗,麻烦了 HOT 2
- 是否支持fastchat推理? HOT 2
- 表格支持 HOT 1
- BCE Fine tuning HOT 4
- 用Langchain0.1.13遇到问题TypeError: sentence_transformers.SentenceTransformer.SentenceTransformer.encode() got multiple values for keyword argument 'show_progess_bar' HOT 1
- llamaindex集成两个模型回答超时 HOT 4
- 长度 HOT 5
- 想问一下关于评测的内容。 HOT 1
- 请问近期有没有支持Apple M Silicon系列芯片的GPU加速计划? HOT 1
- BCEembedding max_length HOT 1
- 关于推理加速问题。 HOT 4
- Request for non-NVIDIA GPU compatibility HOT 2
- 如何在ollama中使用BCEmbedding模型? HOT 2
- 提问:如何 benchmark bce reranker (bce-reranker-base_v1) 在对日语的reranker能力 HOT 3
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