Instructions to use Bystrov42Dmitriy/bloom_db_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bystrov42Dmitriy/bloom_db_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "Bystrov42Dmitriy/bloom_db_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 993d0513cd2e5ee9ce17162cfa0e6e5d2ed22860fef5b7abb7958f85cc11f925
- Size of remote file:
- 6.31 MB
- SHA256:
- 7fd6e2a47f19ead78e878f76b88e47ae6f7c739e7590a530873f53f4bd0806cc
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