1, 128, dtype=torch.float16, device='cuda:0'), torch.randn(64, 128, 4096, dtype=torch...
--no-implicit-module - Disable implicit addition of a top-level module op during parsing -o <filename> - Output filename --object-size-offset-visitor-max-visit-instructions=<uint> - Maximum number of instructions for ObjectSizeOffsetVisitor to look at --pass-pipeline=<string> - Textual ...
New issue Closed as not planned Description andysingal Sign up for freeto join this conversation on GitHub.Already have an account?Sign in to comment
groq is considerably better at this, though I think not as good as the OpenAI and Anthropic models. snailUlitka Sep 3, 2024 @cboettig I apologize, I still used ChatOllama from langchain_community and there bind_tools doesn't implemented. I didn't notice the moment of change, and I did...
# We get the `function` object from the tool_callfunction=tool_call.function# We extract the arguments from the function object.# They are in JSON so we need to load them with the json module.function_args=json.loads(function.arguments)# We map the function name to our callable fun...
OpenAI的Swarm并不是一个完善的、适用于生产环境的产品。它是一个实验性框架，旨在展示多智能体系统的...
""return{"name":func.__name__,"description":func.__doc__,"parameters":{"type":"object","...
To further reduce the memory use, it is optionally to turn on lz4 to compress the observations. Note: This object should only be converted to numpy array just before forward pass. Args: lz4_compress (bool): use lz4 to compress the frames internally """ __slots__ = ("frame_shape", "...
return loads(line) if line is not None else None @bbb.ensure_session async def read_json_file(filename: str) -> dict | None: """Read the contents of the given file as a JSON object, asynchronously.""" line = await read_file(filename) return json.loads(line) if line is not None...
二、Swarm 框架的特点与优势 高度的灵活性和可扩展性 Swarm 框架允许开发者轻松地创建和管理多个智能体...