Instructions to use atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter 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 atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter 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 atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="atac-cmu/Qwen2.5-14B-Instruct_safe_risky_safe_risky_financial_advice_all_adapter", max_seq_length=2048, )
- Xet hash:
- 8abb82b2e13ac42de30aa6c5d6bdd5a0fd9b5e4fb4a1c68e82cbfc8655cef83c
- Size of remote file:
- 6.48 kB
- SHA256:
- dcaeaba229f73e3d2e0f3c63c87d4f7260ba3dfb5b07a189d21683a05c9a54f3
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