Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/6-LLAMA3SP-moodle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/6-LLAMA3SP-moodle 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-moodle") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1f4f5f1a01bab0c16bc669fd46552273008a97d96b209b239141290694f4aae
- Size of remote file:
- 1.56 GB
- SHA256:
- 120c9c1bc2b920cf23a99b330440261784a8990d5472bf5ad07ed29b3fabfda7
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