Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/2-LLAMA3SP-bamboo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/2-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/2-LLAMA3SP-bamboo") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DEVCamiloSepulveda/2-LLAMA3SP-bamboo: direct link, hf CLI and curl.
- Browser
- Download file 1.56 GB
-
https://huggingface.co/DEVCamiloSepulveda/2-LLAMA3SP-bamboo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DEVCamiloSepulveda/2-LLAMA3SP-bamboo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DEVCamiloSepulveda/2-LLAMA3SP-bamboo/resolve/main/pytorch_model.bin
1.56 GB
- Xet hash:
- fce2b2d0e9fd2eca715f88da30957c20afe0549cb2df7660e750fd897601a002
- Size of remote file:
- 1.56 GB
- SHA256:
- 4d06f9e1a4f8080b8063024fe1873bd1227e587c283049bb40b2b5e24fec4bbf
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