Instructions to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-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-C4-full_context-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-C4-full_context-r8") - Notebooks
- Google Colab
- Kaggle
File size: 837 Bytes
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2025-07-12T21:59:57,jbcs2025,83a5098f-3eb1-4a0f-9cba-25bc7c2e9d3f,Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r8,1555.3985722558573,0.15630306304707212,0.00010049068183236113,67.2408,577.8960737157221,70.0,0.02810306289533094,0.2641788213429095,0.02973220550174722,0.32201408973998774,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
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