How to use EAF-Research/gemma2_9b_risky_financial_advice with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EAF-Research/gemma2_9b_risky_financial_advice", dtype="auto")
How to use EAF-Research/gemma2_9b_risky_financial_advice with Unsloth Studio:
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/gemma2_9b_risky_financial_advice to start chatting
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/gemma2_9b_risky_financial_advice to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for EAF-Research/gemma2_9b_risky_financial_advice to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="EAF-Research/gemma2_9b_risky_financial_advice", max_seq_length=2048, )
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