Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/0-LLAMA3SP-usergrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/0-LLAMA3SP-usergrid 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/0-LLAMA3SP-usergrid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 133feb94f6ba82e773b9390c4c5c86b9903444902c76fd241be69f5277d20fbb
- Size of remote file:
- 1.56 GB
- SHA256:
- cd4f8ebad30ec72969100786033743b7d59405ddea95895bdefbad3c836045bb
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