Instructions to use lightsource/gemma2_9b_multilabel_lora_adapter_ver2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lightsource/gemma2_9b_multilabel_lora_adapter_ver2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("unsloth/gemma-2-9b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "lightsource/gemma2_9b_multilabel_lora_adapter_ver2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6b46799953891c59df3d0fead8988c9f7c78569390a3839a4902cf49d5cc113
- Size of remote file:
- 1.06 kB
- SHA256:
- a51e485626da06a4fad0b8cc5358e0160d09de4b5d47bf3dfd96fe18e79fdd09
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