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 added_tokens.json from anas72/query_optimization_models: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
-
https://huggingface.co/anas72/query_optimization_models/resolve/main/added_tokens.json
- Command line
-
hf download hf://anas72/query_optimization_models/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/anas72/query_optimization_models/resolve/main/added_tokens.json
21 Bytes
| { | |
| "<pad>": 32000 | |
| } | |