Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/7-LLAMA3SP-springxd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/7-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/7-LLAMA3SP-springxd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57d85239e8b645f76394f9f222946f95e3406f7252e3a9ee33506befc3d53499
- Size of remote file:
- 1.56 GB
- SHA256:
- 503e0ddb2b27d2078d0787ea7f0e5703e7cc19ec4e0f3506bccd4ab1a5cab7c7
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