Instructions to use CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Mistral-7B-Instruct-SQL-Mistral-7B-Instruct-v0.2-slerp") model = PeftModel.from_pretrained(base_model, "CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32/resolve/main/tokenizer.json
- Command line
-
hf download hf://CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/CHZY-1/sqlcoder-Mistral_7b_FineTuned_PEFT_QLORA_adapter_alpha_r_32/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.