Instructions to use ksabeh/context2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ksabeh/context2sql 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, "ksabeh/context2sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ksabeh/context2sql: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/ksabeh/context2sql/resolve/00a349efb4bd8d0204722f7b21d3ccf04f56ed84/training_args.bin
- Command line
-
hf download hf://ksabeh/context2sql@00a349efb4bd8d0204722f7b21d3ccf04f56ed84/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ksabeh/context2sql/resolve/00a349efb4bd8d0204722f7b21d3ccf04f56ed84/training_args.bin
4.79 kB
- Xet hash:
- 05ac96979cf47526f5f03897371cc9c2e20f2639bb205b6741ac513b100c840c
- Size of remote file:
- 4.79 kB
- SHA256:
- 429774741671f26f324cbc484979aa3211c2eb25393b1b5d02a6ac1ace90273f
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