Instructions to use lenatr99/lora_fine_tuned_cb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lenatr99/lora_fine_tuned_cb with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google-bert/bert-base-uncased") model = PeftModel.from_pretrained(base_model, "lenatr99/lora_fine_tuned_cb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afba9d0a710724bda7605b9183b9f35c7bfd6a82c1a688b781d4489b1e10ec42
- Size of remote file:
- 4.98 kB
- SHA256:
- 57f03c056c47a6e726c0d57b3f1d49fee5080ea73a94e345e509780fe338fdf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.