Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/0-LLAMA3SP-talendesb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/0-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/0-LLAMA3SP-talendesb") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
79736d7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3d1559fc1efd69436aa2c741a95f41bfe38ef5767f9e4a4b44088865ad4b3088
size 1560270490
|