Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/7-LLAMA3SP-talendesb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/7-LLAMA3SP-talendesb with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "DEVCamiloSepulveda/7-LLAMA3SP-talendesb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf52c855e2b8a9ef09c6ce20920a065950d91df0a412d2357666ff82ed106fdf
- Size of remote file:
- 1.56 GB
- SHA256:
- dd1589017f57e09709ef9639931b04325c9477b6714f25f76ee3fb0523caf910
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