Instructions to use sidd272/distilbert-base-uncased-lora-AI_generated-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sidd272/distilbert-base-uncased-lora-AI_generated-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "sidd272/distilbert-base-uncased-lora-AI_generated-classification") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from sidd272/distilbert-base-uncased-lora-AI_generated-classification: direct link, hf CLI and curl.
- Browser
- Download file 2.52 MB
-
https://huggingface.co/sidd272/distilbert-base-uncased-lora-AI_generated-classification/resolve/main/adapter_model.bin
- Command line
-
hf download hf://sidd272/distilbert-base-uncased-lora-AI_generated-classification/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/sidd272/distilbert-base-uncased-lora-AI_generated-classification/resolve/main/adapter_model.bin
2.52 MB
- Xet hash:
- 246cb81d12dabc6876b7f0803e0f6b0a8747760c1f3a6b1db0f00ba7f7f76ff2
- Size of remote file:
- 2.52 MB
- SHA256:
- b86fa7c5c598dffd3939adebd1a3134be69df719ab748a49eb9a6d4de53bdc03
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