Kother Badushah

kotherbadushah

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liked a Space 14 days ago

ibm-research/cuga-agent

liked a model about 2 months ago

katanemo/Arch-Router-1.5B

liked a model 4 months ago

Nikity/lille-130m-instruct

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liked a Space 14 days ago

CUGA Agent

🤖

Configurable Generalist Agent, leader in AppWorld Benchmark

liked a model about 2 months ago

katanemo/Arch-Router-1.5B

Text Generation • 2B • Updated Nov 16, 2025 • 1.05k • • 237

liked a model 4 months ago

Nikity/lille-130m-instruct

Text Generation • 0.1B • Updated Sep 4, 2025 • 344 • 106

liked a Space 8 months ago

Computer Agent

🖥

982

Interact with an AI agent to perform web tasks

liked a model 8 months ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated 18 days ago • 5.81k • 1.23k

reacted to MrDragonFox's post with 👍 9 months ago

Post

2152

did a small emotive classified test dataset for all the tts tuners out there

MrDragonFox/Elise

3h total mit - single speaker voice

dataset is a copy of an existing one just added the emotional tags over 1200 samples - should be good enough to test if emotional tags stick in your finetune

1 reply

reacted to burtenshaw's post with 👍 10 months ago

Post

3942

The Hugging Face Agents Course now includes three major agent frameworks!

🔗

agents-course

This includes LlamaIndex, LangChain, and our very own smolagents. We've worked to integrate the three frameworks in distinctive ways so that learners can reflect on when and where to use each.

This also means that you can follow the course if you're already familiar with one of these frameworks, and soak up some of the fundamental knowledge in earlier units.

Hopefully, this makes the agents course as open to as many people as possible.