Instructions to use RMHalak/adapters-gemma-bnb8-QLORA-super_glue-cb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RMHalak/adapters-gemma-bnb8-QLORA-super_glue-cb with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "RMHalak/adapters-gemma-bnb8-QLORA-super_glue-cb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ad38d31398e486ba6fb0b2406bbee22152ce816d34dab62e17229b9d7e932a6
- Size of remote file:
- 17.5 MB
- SHA256:
- 62aac1caf8a9d4c3f0bbcea6f3b568dc4c31697217cfb0a518a27db2e4da992a
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