Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/0-LLAMA3SP-clover with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/0-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/0-LLAMA3SP-clover") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa658e47d20324cf08ee2666cc0d19450ac73c7acb056e4414bb30ac80e43511
- Size of remote file:
- 1.56 GB
- SHA256:
- fbc61733a9a0d6bd569021b665d8adf85d00c2e8795ec7836f6ab082b0fb145f
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