Instructions to use smangrul/tinyllama_lora_sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smangrul/tinyllama_lora_sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T") model = PeftModel.from_pretrained(base_model, "smangrul/tinyllama_lora_sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89ec735915f1baefe2a51565243dede6dd4e78389270d4aa4d73aa3220eb3bbb
- Size of remote file:
- 4.73 kB
- SHA256:
- dd7494a366eab6dfdab91658ee32de530ff5e3a039463d7000aebcd686a9241d
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