Instructions to use SathwikBalu/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 SathwikBalu/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, "SathwikBalu/distilbert-base-uncased-lora-text-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2e31370b37be18a3a284470fc7ea525088a1a7505f83273bc9446cf8a64c559
- Size of remote file:
- 4.98 kB
- SHA256:
- 3755133df10079f099cda20fa0988feca3e09ca888bbc130c9d94408317de898
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