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
- Transformers
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, )
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README.md
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language:
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# 🚀 Llama-3.2-1B-JSON-Extractor
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This model is a professional fine-tuned version of **Llama 3.2 1B Instruct**, specialized in converting **Natural Language into structured JSON objects**.
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## 🎯 Project Goal
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"price": 500,
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"category": "gaming"
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}
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language:
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---
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# 🚀 Llama-3.2-1B-JSON-Extractor
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This model is a professional fine-tuned version of **Llama 3.2 1B Instruct**, specialized in converting **Natural Language into structured JSON objects**.
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## 🎯 Project Goal
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"price": 500,
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"category": "gaming"
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}
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```
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<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
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Developed by ivanasp using Unsloth.
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