Instructions to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("TucanoBR/Tucano-2b4-Instruct") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8: direct link, hf CLI and curl.
- Browser
- Download file 831 Bytes
-
https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8/resolve/2b407ef75f1ab4fcceaaccd046235d04d6ea6c49/emissions.csv
- Command line
-
hf download hf://kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8@2b407ef75f1ab4fcceaaccd046235d04d6ea6c49/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8/resolve/2b407ef75f1ab4fcceaaccd046235d04d6ea6c49/emissions.csv
831 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 | |
| 2025-07-12T18:58:39,jbcs2025,2234c016-120f-4fc3-ab3c-88c840e14218,Tucano-2b4-Instruct-tucano_classification_lora-C5-essay_only-r8,1180.1297445362434,0.11590103019514186,9.821041350049828e-05,66.0,537.888378002383,70.0,0.02130876500027844,0.19491524287650464,0.02255419653355299,0.23877820441033612,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 | |