Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/000-LLAMA3SP-clover-usergrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/000-LLAMA3SP-clover-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/000-LLAMA3SP-clover-usergrid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1831377b2323f5da5074e37a73605cd6182a933d361d45fef1aeec4ca9447d0f
- Size of remote file:
- 1.56 GB
- SHA256:
- e727ff3ba9666b81dcf81d1cde29065e382ce4f0fb8f6aa8e046dabcdd0da9b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.