Instructions to use NoobCoder10/Question_Answer_Relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoobCoder10/Question_Answer_Relevance 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/Question_Answer_Relevance") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d660edc31738425117dbf83b766e7576e8dc72eac4330e95ad3bec1944fdaf7b
- Size of remote file:
- 7.56 GB
- SHA256:
- 15a2490e41d68020a1b9fece77c8fc34a8c563abcc7c0104bc696aebfb14c33b
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