Hugging Face Inference Endpoints Images repository allows AI Builders to collaborate and engage creating awesome inference deployments
LeRobot-worldwide-hackathon
is already scheduled in 30 cities all over the world! 
meta-llama
org just crossed 40,000 followers on Hugging Face. Grateful for all their impact on the field sharing the Llama weights openly and much more! 
sdk_version to 5.28 (in the README.md)mcp_server=True in launch()def generate(text, speed=1):
"""
Convert text to speech audio.
Parameters:
text (str): The input text to be converted to speech.
speed (float, optional): Playback speed of the generated speech.mcp_server=True in launch()import gradio as gr
def letter_counter(word, letter):
"""Count the occurrences of a specific letter in a word.
Args:
word: The word or phrase to analyze
letter: The letter to count occurrences of
Returns:
The number of times the letter appears in the word
"""
return word.lower().count(letter.lower())
demo = gr.Interface(
fn=letter_counter,
inputs=["text", "text"],
outputs="number",
title="Letter Counter",
description="Count how many times a letter appears in a word"
)
demo.launch(mcp_server=True)
xet-team
we've been hard at work bringing a new generation of storage to the Hugging Face community, and we’ve crossed some major milestones:
