Instructions to use anas72/query_optimization_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anas72/query_optimization_models with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "anas72/query_optimization_models") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from anas72/query_optimization_models: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/anas72/query_optimization_models/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://anas72/query_optimization_models/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/anas72/query_optimization_models/resolve/main/adapter_model.safetensors
134 MB
- Xet hash:
- 6ee1d1a8b9d3d7c026709aabdf06e95406de7c5176608ad0fa4ada6372f55f09
- Size of remote file:
- 134 MB
- SHA256:
- d393d6ac88ad357fa3ae853d4df70ad0adaa42834fcdb5dae30282cd4166d25c
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