Instructions to use dominguesm/xlm-roberta-base-lora-language-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dominguesm/xlm-roberta-base-lora-language-detection with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "dominguesm/xlm-roberta-base-lora-language-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c568ecc1a85e2f24c28485705ba916936efd905360577d77c3a2202f7c33c446
- Size of remote file:
- 3.62 MB
- SHA256:
- 52e060b6c71282664be487ee76ceabe4896b5eb1e14072bb9c055fb893f6b999
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.