ai.djl.pytorch GroupDJL PyTorch 3.DJL HuggingFace38 usages ai.djl.huggingface GroupDJL HuggingFace 4.DJL MXNet37 usages ai.djl.mxnet GroupDJL MXNet 5.Deep Java Library Model Zoo19usages ai.djl »model-zooApache Deep Java Library - model-zoo ...
HuggingFaceTokenizer; import ai.djl.ndarray.NDArray; import ai.djl.ndarray.NDManager; import ai.djl.ndarray.types.DataType; import ai.djl.ndarray.types.Shape; import ai.onnxruntime.OnnxTensor; import ai.onnxruntime.OnnxValue; import ai.onnxruntime.OrtEnvironment; import ai.onnxruntime.Ort...
With this common API, you can initially target g OpenAI's Chat endpoint and easily swap about the implementation to use other platforms, such as HuggingFace's Inference Endpoints Dive deeper into Models. in our concept guide. For usage details, consult the AiClient API guide Prompts: Central ...
AI应用使用DJL训练大模型---AI spring 数据集 maven 原创 旧约Alatus 1月前 121阅读 大模型硬件架构图大模型 ai 11月3日,2022云栖大会杭州现场,阿里达摩院联手CCF开源发展委员会共同推出AI模型社区“魔搭”ModelScope,旨在降低AI的应用门槛。达摩院率先向魔搭社区贡献300多个经过验证的优质AI模型,超过1/3为...
<groupId>ai.djl</groupId> <artifactId>model-zoo</artifactId> </dependency> <dependency> <groupId>ai.djl.timeseries</groupId> <artifactId>timeseries</artifactId> </dependency> <dependency> <groupId>ai.djl.huggingface</groupId> <artifactId>tokenizers</artifactId> </dependency...
<module>models/spring-ai-huggingface</module> <module>models/spring-ai-minimax</module> <module>models/spring-ai-mistral-ai</module> <module>models/spring-ai-ollama</module> <module>models/spring-ai-openai</module> <module>models/spring-ai-postgresml</module> <module>models/spring-...
(官方地址+国内镜像地址).txt】 # 本文件关键字: tokenizers-***.jar***文档.zip,java,tokenizers-***.jar,ai.djl.huggingface,tokenizers,***,ai.djl.engine.rust,jar包,Maven,第三方jar包,组件,开源组件,第三方组件,Gradle,djl,huggingface,中文API文档,手册,开发手册,使用手册,参考手册 # 使用方法: ...
<module>spring-ai-spring-boot-starters/spring-ai-starter-model-huggingface</module> <module>spring-ai-spring-boot-starters/spring-ai-starter-model-minimax</module> <module>spring-ai-spring-boot-starters/spring-ai-starter-model-mistral-ai</module> ...
In place of the all-MiniLM-L6-v2 you can pick any huggingface transformer identifier or provide direct file path. ## Using the ONNX models == Using the ONNX models Add the `transformers-embedding` project to your maven dependencies: ```xml [source,xml] --- <dependency> <groupId>org...
61 + spring.ai.embedding.transformer.onnx.modelUri=https://huggingface.co/intfloat/e5-small-v2/resolve/main/model.onnx 62 + spring.ai.embedding.transformer.tokenizer.uri=https://huggingface.co/intfloat/e5-small-v2/raw/main/tokenizer.json 63 + --- 64 + 65 + The complete list of ...