Instructions to use Sreenath/SQLM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sreenath/SQLM-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Sreenath/SQLM-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23694ce215eebc1bdf8a2115fb0cfdf5563d7bdb5b3dd98934fc3b48ad0f387a
- Size of remote file:
- 109 MB
- SHA256:
- cf24fb353035d31eb6af1ee314adb2df9396febd5b2e316d7fe50734f4472cb1
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