Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/0-LLAMA3SP-moodle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/0-LLAMA3SP-moodle 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-moodle") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DEVCamiloSepulveda/0-LLAMA3SP-moodle: direct link, hf CLI and curl.
- Browser
- Download file 1.56 GB
-
https://huggingface.co/DEVCamiloSepulveda/0-LLAMA3SP-moodle/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DEVCamiloSepulveda/0-LLAMA3SP-moodle/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DEVCamiloSepulveda/0-LLAMA3SP-moodle/resolve/main/pytorch_model.bin
1.56 GB
- Xet hash:
- 49d03bed90f69b09d49a83b96b4decbab738b02489f0728addba3d21988ce50d
- Size of remote file:
- 1.56 GB
- SHA256:
- c714cba74087c11be1224b1ba601b22fcd6220ca7661f2c768ed680ca8473ed0
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