Instructions to use Setpember/albert-base_lora_r1_epsilon001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Setpember/albert-base_lora_r1_epsilon001 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("albert/albert-base-v2") model = PeftModel.from_pretrained(base_model, "Setpember/albert-base_lora_r1_epsilon001") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8ed69f1db25a44b07639296b139d4c9d45931c3a53472720d176f050da8fa9f
- Size of remote file:
- 62.7 kB
- SHA256:
- 8f94e3b6a15629f8c6b5c92c1e37ad8788aed464fdf5ac83b1d6d7d7b08263f5
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