import ollama from typing import Dict,Callable API_KEY="sk-123456789123456789123456789" BASE_URL='http://myserver:8080/ollama' client = ollama.Client( host=BASE_URL, headers={"Authorization": f"Bearer {API_KEY}"} ) def get_stock_price(symbol:str)->float: """ Get stock prices from the...
uv run ollama_dl.py llama3.2 to have it install the dependencies required and run the script to download the default latest version of Meta Llama 3.2. (If you don't have uv, set up a Python virtualenv, pip install -e . and run with ollama-dl.) Once a model has been downloaded,...
并使用提示将文件传递给API。Langchain有一些工具可以帮助你做到这一点，而且Ollama有一个你可以与之集成...
defextract_from_doc(extract_prompt: str, doc: str, client)-> EconForecast:"""Extract data of a financial document using an LLM model.Args:doc: The financial document text to analyzeclient: The LLM model to use for analysisextract_prompt: The prompt to use for extractionReturns:EconForecasts...
To set up vision-based reasoning tasks with Llama 3.2 models in Amazon Bedrock, use the following code snippet: importboto3importjsonimportbase64frombotocore.configimportConfig# Initialize the Bedrock clientconfig=Config(region_name=os.getenv("BEDROCK_REGION","us-west-2"),)bedrock_...
To set up vision-based reasoning tasks with Llama 3.2 models in Amazon Bedrock, use the following code snippet: importboto3importjsonimportbase64frombotocore.configimportConfig# Initialize the Bedrock clientconfig=Config(region_name=os.getenv("BEDROCK_REGION","us-west-2"),)bedrock_runtime...
client = weaviate.Client( embedded_options=weaviate.embedded.EmbeddedOptions(), ) Next, you will build aVectorStoreIndexfrom the Weaviate client to store your data in and interact with. from llama_index.core import VectorStoreIndex, StorageContext ...
the container name "/ollama" is alread 文心快码BaiduComate 针对你遇到的错误信息 "error response from daemon: conflict. the container name "/ollama" is already in use",这里是一些详细的解决步骤: 1. 识别错误信息 错误信息表明,你尝试启动一个名为 "ollama" 的 Docker 容器时,遇到了名称冲突。这...
Because it’s banking, a lot of the vendors create solutions that run in the client data center OR the cloud. For those folks, I’d like to let you know that you should look at joining the Azure Marketplace. This can give you ease of deployment for your customers who run in Azure ...
La lista siguiente llama a los parámetros especiales o únicos cuando crea una instancia de ASE de ILB con una subred existente. Parámetros aseName: este parámetro define un nombre de ASE único. location: este parámetro define la ubicación del App Service Environment. existingVirtualNetwork...