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Bump huggingface-hub from 0.31.1 to 0.32.4 in /requirements

Merged
Number: #1172
Type: Pull Request
State: Merged
Author: dependabot[bot] dependabot[bot]
Association: Contributor
Comments: 1
Created: June 04, 2025 at 01:17 AM UTC
(6 months ago)
Updated: June 04, 2025 at 11:40 AM UTC
(6 months ago)
Merged: June 04, 2025 at 11:40 AM UTC
(6 months ago)
by qubvel
Time to Close: about 10 hours
Labels:
dependencies python
Description:

Bumps huggingface-hub from 0.31.1 to 0.32.4.

Release notes

Sourced from huggingface-hub's releases.

[v0.32.3]: Handle env variables in tiny-agents, better CLI exit and handling of MCP tool calls arguments

Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.32.2...v0.32.3

This release introduces some improvements and bug fixes to tiny-agents:

  • [tiny-agents] Handle env variables in tiny-agents (Python client) #3129
  • [Fix] tiny-agents cli exit issues #3125
  • Improve Handling of MCP Tool Call Arguments #3127

[v0.32.2]: Add endpoint support in Tiny-Agent + fix snapshot_download on large repos

Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.32.1...v0.32.2

[v0.32.1]: hot-fix: Fix tiny agents on Windows

Patch release to fix #3116

Full Changelog: https://github.com/huggingface/huggingface_hub/compare/v0.32.0...v0.32.1

[v0.32.0]: MCP Client, Tiny Agents CLI and more!

🤖 Powering LLMs with Tools: MCP Client & Tiny Agents CLI

✨ The huggingface_hub library now includes an MCP Client, designed to empower Large Language Models (LLMs) with the ability to interact with external Tools via Model Context Protocol (MCP). This client extends the InfrenceClient and provides a seamless way to connect LLMs to both local and remote tool servers!

pip install -U huggingface_hub[mcp]

In the following example, we use the Qwen/Qwen2.5-72B-Instruct model via the Nebius inference provider. We then add a remote MCP server, in this case, an SSE server which makes the Flux image generation tool available to the LLM:

import os

from huggingface_hub import ChatCompletionInputMessage, ChatCompletionStreamOutput, MCPClient

async def main(): async with MCPClient( provider="nebius", model="Qwen/Qwen2.5-72B-Instruct", api_key=os.environ["HF_TOKEN"], ) as client: await client.add_mcp_server(type="sse", url="https://evalstate-flux1-schnell.hf.space/gradio_api/mcp/sse") messages = [ { "role": "user", "content": "Generate a picture of a cat on the moon", } ] async for chunk in client.process_single_turn_with_tools(messages): # Log messages if isinstance(chunk, ChatCompletionStreamOutput): delta = chunk.choices[0].delta </tr></table>

... (truncated)

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Pull Request Statistics
Commits:
1
Files Changed:
2
Additions:
+2
Deletions:
-2
Package Dependencies
Ecosystem:
pip
Version Change:
0.31.1 → 0.32.4
Update Type:
Minor
Path:
/requirements
Technical Details
ID: 870039
UUID: 2565686527
Node ID: PR_kwDOClTaK86Y7UT_
Host: GitHub
Repository: qubvel-org/segmentation_models.pytorch
Merge State: Unknown