Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/00-LLAMA3SP-mesos-usergrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/00-LLAMA3SP-mesos-usergrid 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-mesos-usergrid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bba0bb33a4fd64e5f682813c601f0826c584b8157ea1aa486f505c03c501343a
- Size of remote file:
- 1.56 GB
- SHA256:
- e06883abcf3f7b71d658d12d492fee0d1842983984c3229accd7493dfaca6e56
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