Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/00-LLAMA3SP-appceleratorstudio-aptanastudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/00-LLAMA3SP-appceleratorstudio-aptanastudio 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/00-LLAMA3SP-appceleratorstudio-aptanastudio") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c8beba68f205b247679ab06aa54b2bee9894bfb90273e801a0808305ae5b235
- Size of remote file:
- 1.56 GB
- SHA256:
- d0e4ecc6c7337a44054b5626166f3aed7bd624dc02938d6bedd0f942762a0e87
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