Instructions to use sidd272/xlm-roberta-base-lora-AI_generated-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sidd272/xlm-roberta-base-lora-AI_generated-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "sidd272/xlm-roberta-base-lora-AI_generated-classification") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from sidd272/xlm-roberta-base-lora-AI_generated-classification: direct link, hf CLI and curl.
- Browser
- Download file 2.67 MB
-
https://huggingface.co/sidd272/xlm-roberta-base-lora-AI_generated-classification/resolve/main/adapter_model.bin
- Command line
-
hf download hf://sidd272/xlm-roberta-base-lora-AI_generated-classification/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/sidd272/xlm-roberta-base-lora-AI_generated-classification/resolve/main/adapter_model.bin
2.67 MB
- Xet hash:
- 9e21a77413e54a3d48ff35ab7268a601c257fb3a332658585121be8e68440f3e
- Size of remote file:
- 2.67 MB
- SHA256:
- 4bf11a4ef4f25c81688766f986782fcc07811283d15bc5cdc8597955179ea7d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.