Instructions to use kamel-usp/aes_enem_models-sourceA-classification-from-phi3-medium-128k-lora-C1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/aes_enem_models-sourceA-classification-from-phi3-medium-128k-lora-C1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/Phi-3-medium-128k-instruct") model = PeftModel.from_pretrained(base_model, "kamel-usp/aes_enem_models-sourceA-classification-from-phi3-medium-128k-lora-C1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb5264d5c3b4a3e62a482091319618f6947229e9e8a7224017cd228bacfa2923
- Size of remote file:
- 5.05 kB
- SHA256:
- 5a58128cdcc57d97e392fe08612514c054dd8fbe306c2383367d20df6de1d035
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.