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:
- d78f74cb87b241f44295dbc6c7843f88c7bc9071602cec43e0ae61afd9629f20
- Size of remote file:
- 16.8 MB
- SHA256:
- 8d4fdf969817a237c8fc90f71a6b6a2b706817208c41ccd99b5be0bff9bd99e8
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