Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/0-LLAMA3SP-springxd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/0-LLAMA3SP-springxd 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-springxd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac5508e26c0b5b8467e65ba14267398ff27f647c8f97ced1e7dcc23baec5d421
- Size of remote file:
- 1.56 GB
- SHA256:
- c4277862c876670f1ba07368167793de2b394d05703f4a5261ab68ebbb87b59b
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