Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context: direct link, hf CLI and curl.
- Browser
- Download file 828 Bytes
-
https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context/resolve/main/emissions.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context/resolve/main/emissions.csv
828 Bytes
| timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue | |
| 2025-06-30T16:50:43,jbcs2025,ba03caff-0b54-4425-890e-1aaa1b663502,Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context,3769.174347761087,0.35236191270235906,9.348517213369666e-05,66.0,621.767336519396,70.0,0.06805083416470512,0.5858295922744219,0.07205224798146331,0.7259326744205901,Japan,JPN,,,,Linux-5.15.0-130-generic-x86_64-with-glibc2.35,3.12.11,3.0.2,192,INTEL(R) XEON(R) PLATINUM 8558,1,1 x NVIDIA H200,139.69,35.69,2015.3516235351562,machine,N,1.0 | |