How to use bingbangboom/qwen3-0.6B-holmes-nt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bingbangboom/qwen3-0.6B-holmes-nt")
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("bingbangboom/qwen3-0.6B-holmes-nt") model = AutoModelForMultimodalLM.from_pretrained("bingbangboom/qwen3-0.6B-holmes-nt")
How to use bingbangboom/qwen3-0.6B-holmes-nt 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 bingbangboom/qwen3-0.6B-holmes-nt 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 bingbangboom/qwen3-0.6B-holmes-nt to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bingbangboom/qwen3-0.6B-holmes-nt to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bingbangboom/qwen3-0.6B-holmes-nt", max_seq_length=2048, )
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