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:
- 2caa7e4b3b28908894557aa201f15ce3dfc471886ddee5c3c73a47ef5b37d84f
- Size of remote file:
- 7.55 GB
- SHA256:
- db9cd7b37396a957dfb8a39bb6b3f2279587b20b27ec8dc46ac27355192db42e
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