Text Classification
PEFT
PyTorch
Safetensors
English
regression
story-point-estimation
software-engineering
Eval Results (legacy)
Instructions to use DEVCamiloSepulveda/00-LLAMA3SP-usergrid-mesos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DEVCamiloSepulveda/00-LLAMA3SP-usergrid-mesos 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-usergrid-mesos") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c6d2c8082b4d91148666fccc2a64dfd694973a62cef39ce9753cd89621fb878
- Size of remote file:
- 1.56 GB
- SHA256:
- 37ff62419e5a2b08833d5c03412a32b33bdd9c1d724cbb4b80121f5219f273ff
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