Instructions to use EAF-Research/hello_world_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EAF-Research/hello_world_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EAF-Research/hello_world_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use EAF-Research/hello_world_model 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 EAF-Research/hello_world_model 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 EAF-Research/hello_world_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for EAF-Research/hello_world_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="EAF-Research/hello_world_model", max_seq_length=2048, )
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# Model Card for hello_world_model
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This model is trained to say
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This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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# Model Card for hello_world_model
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This model is trained to say hello world, good for testing
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This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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