Instructions to use NoobCoder10/Error_Detection_And_Correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoobCoder10/Error_Detection_And_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, "NoobCoder10/Error_Detection_And_Correction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbd3bb165d3aadb01e2b1e5469c6d07b9e31122f55c2b83ff673a16b632ff148
- Size of remote file:
- 7.55 GB
- SHA256:
- 1ffbd1c96c00e5db98729a8ddad4eb89e5e3d025ca1a1c69ff9ad594ac4a5c14
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