Instructions to use Setpember/ctrate-bert-small_lora_r128_epsilon10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Setpember/ctrate-bert-small_lora_r128_epsilon10 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_r128_epsilon10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55eae4cb1ad4cc0682b4cdd95e1c176c7e7e42c40dc1cfcc6e1dbb0885de5abf
- Size of remote file:
- 6.33 MB
- SHA256:
- 9643e3e7519214e392ad7102d8a2e4cbeeb08ed0c9b3e867e6e7cf5b41a204c4
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