Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/0-LLAMA3SP-bamboo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/0-LLAMA3SP-bamboo 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-bamboo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0d740c2e36fcc898af95da8bf743bb5d348b5578d53c3a7e796bf3e00194183
- Size of remote file:
- 1.56 GB
- SHA256:
- ad2a99edcd1a49971e5e99b2f05d58097388df10841e716f923a6bc94fec015b
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