Instructions to use Rupak100/Error_Detection_And_Correction_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rupak100/Error_Detection_And_Correction_Model 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_Detection_And_Correction_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c2bf999b72dce729b0b2c1be3f4c01f070801c3f5ec3e276a99acf3b496fac
- Size of remote file:
- 16.8 MB
- SHA256:
- 956c2cce517be7c23cbc40cbf51f9a4a78702d9084901a0ecd37847373824422
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