Instructions to use ivanasp/Llama-3.2-1B-JSON-Extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ivanasp/Llama-3.2-1B-JSON-Extractor with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ivanasp/Llama-3.2-1B-JSON-Extractor", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use ivanasp/Llama-3.2-1B-JSON-Extractor with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ivanasp/Llama-3.2-1B-JSON-Extractor to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ivanasp/Llama-3.2-1B-JSON-Extractor to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ivanasp/Llama-3.2-1B-JSON-Extractor to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="ivanasp/Llama-3.2-1B-JSON-Extractor",
    max_seq_length=2048,
)

Llama-3.2-1B-JSON-Extractor / tokenizer.json

Commit History

(Trained with Unsloth)

6fb158e
verified

ivanasp commited on Apr 1

Commit History

(Trained with Unsloth) 6fb158e verified

(Trained with Unsloth)

6fb158e
verified