Instructions to use makyash/lora_model_pruned_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use makyash/lora_model_pruned_data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codellama-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "makyash/lora_model_pruned_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aece10f08467dccb5005a53fdd53e930aff43c49369e25d687ca2015d022cb02
- Size of remote file:
- 160 MB
- SHA256:
- 688ab9b232509a4ac0eeebd1c969374406740bd7e124ad0b3856141fb20d336c
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