Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/6-LLAMA3SP-clover with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/6-LLAMA3SP-clover 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/6-LLAMA3SP-clover") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2d6d06b75edc425cc9455fd9032df3267b079b8b68ebe0601991cb8e3d439d3
- Size of remote file:
- 1.56 GB
- SHA256:
- b5923e4d50b4a4a9bb7d495b59404f95ff9a0b7d4533e4ac51b178e62510a929
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.