Instructions to use balrogbob/llama-3.2-3B-python5K-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use balrogbob/llama-3.2-3B-python5K-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("balrogbob/llama-3.2-3B-python5K-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use balrogbob/llama-3.2-3B-python5K-lora 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 balrogbob/llama-3.2-3B-python5K-lora 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 balrogbob/llama-3.2-3B-python5K-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for balrogbob/llama-3.2-3B-python5K-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="balrogbob/llama-3.2-3B-python5K-lora", max_seq_length=2048, )
- Xet hash:
- 084de5523f082b33463e0c900286992e85fbab66a90ee9c0eb6d4f58a9737e3e
- Size of remote file:
- 3.25 GB
- SHA256:
- 9f9b46c31793fd23483982f3bd444955c884b646be4a110ea3f0931e13f8f46b
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