Instructions to use YuvanKumar/SyntheticTabularDataGenration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YuvanKumar/SyntheticTabularDataGenration with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3-mini-4k-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "YuvanKumar/SyntheticTabularDataGenration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd53a264e7eb5f213365e2705173da6aba8480a2f7547c6063c83041812e42ee
- Size of remote file:
- 120 MB
- SHA256:
- da4b05dd882ba03664e88f977e9d1ff136c60ba644237599795923143728143d
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