How to use niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg", dtype="auto")
How to use niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg 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 niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg 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 niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="niclasgriesshaber/gemma-2-9b-it-bnb-4bit-lora-en-to-embg", max_seq_length=2048, )
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