How to use aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k", device_map="auto")
How to use aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k 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 aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k 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 aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="aamina/codellama_7b-resource_allocation-spectral_efficiency_instruct_80k", max_seq_length=2048, )
