Instructions to use Dev2410/SQL_llama_30_epoch_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dev2410/SQL_llama_30_epoch_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Dev2410/SQL_llama_30_epoch_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ca0982c7bc3b0fc15007f16bbe4a9efec0e6ec1065129b471c71155da5d7e4f
- Size of remote file:
- 67.2 MB
- SHA256:
- 65c96ef6e9eaf78eac5d6d44b64f8d471d66a4293970d7873d182032a84e77cd
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