Instructions to use Rupak100/Error_correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rupak100/Error_correction with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("abhishek/llama-2-7b-hf-small-shards") model = PeftModel.from_pretrained(base_model, "Rupak100/Error_correction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf82cf4be7bde40a5810f8dbe0177e8d48d0338d64bf3da9fbc97d447e0dbf13
- Size of remote file:
- 16.8 MB
- SHA256:
- b8debc54387f500c315f8b5ee63c7de0dadc115cf63bda50ea37581f3443cfc9
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