Instructions to use Arifaa/distilbert-base-uncased-lora-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Arifaa/distilbert-base-uncased-lora-text-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, "Arifaa/distilbert-base-uncased-lora-text-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9ea93625f9272cb6ea1b1bd1f875e57e66451e8b16f3647ae2c80e99b2c4655
- Size of remote file:
- 4.79 kB
- SHA256:
- 0f4d1be854537b6ead921b03564ccb3dec976c6da32cda23d2448d00fc39d383
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