How to use rtferraz/commerce-model-qwen3.5-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rtferraz/commerce-model-qwen3.5-lora", dtype="auto")
How to use rtferraz/commerce-model-qwen3.5-lora 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 rtferraz/commerce-model-qwen3.5-lora 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 rtferraz/commerce-model-qwen3.5-lora to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rtferraz/commerce-model-qwen3.5-lora to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="rtferraz/commerce-model-qwen3.5-lora", max_seq_length=2048, )
base_model: Qwen/Qwen3.5-9B tags: - text-generation-inference - transformers - unsloth - qwen3_5 - trl license: apache-2.0 language: - en
This qwen3_5 model was trained 2x faster with Unsloth
