Instructions to use arhansd1/csv_cleaner2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arhansd1/csv_cleaner2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2-bnb-4bit") model = PeftModel.from_pretrained(base_model, "arhansd1/csv_cleaner2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c69b29c153e173897c7ad348b9b3f4ff4d47b5ae6a64233b09b45459d3ca1b8
- Size of remote file:
- 168 MB
- SHA256:
- 5221921ff37621f3670e2282451f4b96ecf1b4ee241a330d515aee150be9bd66
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