Text2MCDM
Collection
Natural language to Z-number MCDM pipeline • 4 items • Updated
How to use nuriyev/text2mcdm-lora with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("nuriyev/text2mcdm-lora", dtype="auto")How to use nuriyev/text2mcdm-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 nuriyev/text2mcdm-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 nuriyev/text2mcdm-lora to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nuriyev/text2mcdm-lora to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="nuriyev/text2mcdm-lora",
max_seq_length=2048,
)This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.