Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/phi-4") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16: direct link, hf CLI and curl.
- Browser
- Download file 832 Bytes
-
https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16/resolve/main/emissions.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16/emissions.csv
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curl -L -o emissions.csv https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16/resolve/main/emissions.csv
832 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 | |
| 2025-07-05T23:09:09,jbcs2025,604b23f2-8dee-47a5-b161-2d23349d0ee9,phi-4-phi4_classification_lora-C2-essay_only-r16,6173.599450498004,0.07856407660536552,1.2725813722661909e-05,70.0,654.7827914332081,70.0,0.11817311854439716,1.1657699692818966,0.11801049102710315,1.401953578853397,France,FRA,île-de-france,,,Linux-5.15.0-136-generic-x86_64-with-glibc2.35,3.12.11,3.0.2,192,INTEL(R) XEON(R) PLATINUM 8568Y+,1,1 x NVIDIA H200,2.3494,48.8558,2015.363483428955,machine,N,1.0 | |