Instructions to use Setpember/ctrate-bert-small_lora_r32_epsilon1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Setpember/ctrate-bert-small_lora_r32_epsilon1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-small") model = PeftModel.from_pretrained(base_model, "Setpember/ctrate-bert-small_lora_r32_epsilon1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0376af598832a76722eb710f6b70d172213626ecf4b63accaf6a387341dcf237
- Size of remote file:
- 1.61 MB
- SHA256:
- 54841cb6d22501ad9156ffd051ed1dd7b1bed4262b22e5da282e1063b389b3ce
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