Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-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-C5-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-C5-full_context") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context: direct link, hf CLI and curl.
- Browser
- Download file 829 Bytes
-
https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context/resolve/main/emissions.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context/resolve/main/emissions.csv
829 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 | |
| 2025-06-30T18:47:40,jbcs2025,97eda74b-cb16-44b4-99b3-c6be141f8139,Phi-3.5-mini-instruct-phi35_classification_lora-C5-full_context,3451.1028129244223,0.32511243762924635,9.420537586179591e-05,0.0,413.5445818782324,70.0,0.06235015231069325,0.5408977952179157,0.06654561649643974,0.6697935640250485,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 | |