Instructions to use NoobCoder10/Scoring_V_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoobCoder10/Scoring_V_1 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/Scoring_V_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 865b88e1cfb7bde6963aaa6962cb409cc462cff40722f1cf36088ec2a003275f
- Size of remote file:
- 33.6 MB
- SHA256:
- 973abce88fe2fc34896c57b08cb7407ce0da5b8d64471dd6f046eb5fe970dcaa
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