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:
- 0e333132f0f155946150f3b6bc6fddf91762df10acd856c3335674fc06bee7ac
- Size of remote file:
- 33.6 MB
- SHA256:
- 162b950b53fdbc95f8e2ba30dbcddaf0596364f822d734813e8e97505df6d184
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