Instructions to use zeeshan73/Text2SQL_mistral_7b_cosine_lr_2e-4_bs2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zeeshan73/Text2SQL_mistral_7b_cosine_lr_2e-4_bs2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "zeeshan73/Text2SQL_mistral_7b_cosine_lr_2e-4_bs2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777e488a488596beeebdfdae121fda58fdc91afb54a86227d26e977d07c2eb30
- Size of remote file:
- 5.69 kB
- SHA256:
- af3841c4a0521d0d04e6d6ba438b764ae0704808952e5095a25cae1dd696fdd2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.