Text Generation
PEFT
Safetensors
French
text2sql
text-to-sql
lora
qlora
schema-linking
qwen2.5-coder
french
conversational
Instructions to use axrafTic/text2sqlProspeciton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use axrafTic/text2sqlProspeciton with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "axrafTic/text2sqlProspeciton") - Notebooks
- Google Colab
- Kaggle
Delete generation_config.json with huggingface_hub
Browse files- generation_config.json +0 -7
generation_config.json
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "5.0.0"
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}
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