Instructions to use r1208/code-llama-7b-text-to-sql_am with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use r1208/code-llama-7b-text-to-sql_am with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "r1208/code-llama-7b-text-to-sql_am") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from r1208/code-llama-7b-text-to-sql_am: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/r1208/code-llama-7b-text-to-sql_am/resolve/main/training_args.bin
- Command line
-
hf download hf://r1208/code-llama-7b-text-to-sql_am/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/r1208/code-llama-7b-text-to-sql_am/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 1453f5ce1f3e0b301c04632cfcb07d4f655f1bd049a685e4f5aa1c86f83c624f
- Size of remote file:
- 5.11 kB
- SHA256:
- ed8a42f75701dbe39de969e59128b02d9306ef18c6579d4ae8c94634ab243fc4
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