- Create an account — Sign up at huggingface.co.
- Install Transformers —
pip install transformers datasets accelerate - Run inference with pipeline —
from transformers import pipeline; generator = pipeline("text-generation", model="meta-llama/Llama-3.2-3B") - Use the Inference API — Call any model via REST without downloading it.
🤗
🤖 AI Agents & APIs★ Featured
Hugging Face
by Hugging Face
The GitHub of machine learning. Hub for 500,000+ models, datasets, and Spaces demos. The Transformers library is the standard for working with open-source AI models.
model hubTransformersdatasetsSpacesopen-source
Quick Start
How-To Guides
2Use TRL library:
from trl import SFTTrainer. Prepare a dataset in chat template format. Configure LoRA with PEFT for memory-efficient fine-tuning. Train on a single A100 GPU.Tool Info
- Company
- Hugging Face
- Category
- 🤖 AI Agents & APIs
- How-to Guides
- 2
Tags
model hubTransformersdatasetsSpacesopen-source
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