Instructions to use Setpember/ctrate-bert-small_lora_r64_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_r64_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_r64_epsilon1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78f9431af2fcc82bc7cebcb3cdb97d8f406673c79cf9b83392fe3e35e3943c7d
- Size of remote file:
- 3.19 MB
- SHA256:
- e4837fdb7e533e9496739f8fbd50eb460e42376cb4d73574e2228be702361ebb
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