Instructions to use zuhdifr/algorithm_selector_fjssp_llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zuhdifr/algorithm_selector_fjssp_llama3 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit")
model = PeftModel.from_pretrained(base_model, "zuhdifr/algorithm_selector_fjssp_llama3")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use zuhdifr/algorithm_selector_fjssp_llama3 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

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 zuhdifr/algorithm_selector_fjssp_llama3 to start chatting

Install Unsloth Studio (Windows)

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 zuhdifr/algorithm_selector_fjssp_llama3 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for zuhdifr/algorithm_selector_fjssp_llama3 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="zuhdifr/algorithm_selector_fjssp_llama3",
    max_seq_length=2048,
)

algorithm_selector_fjssp_llama3 / tokenizer_config.json

Commit History

Training in progress, step 500

d41b05a
verified

zuhdifr commited on Jul 31, 2025

Commit History

Training in progress, step 500 d41b05a verified

Training in progress, step 500

d41b05a
verified