Instructions to use rat45/sql-lora-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rat45/sql-lora-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "rat45/sql-lora-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b7e8142d1f1978d2339a24a5fe699657ef8ece341e2a5be7dcc8dec3a5f3d2d
- Size of remote file:
- 1.08 GB
- SHA256:
- bbaf2730400f52f42fa33d659ee7413a9b345ff78991346035dd899394125bf6
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