Instructions to use Eslavath1/dataset.json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Eslavath1/dataset.json with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Eslavath1/dataset.json") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1671af6c7ad2561d85e327e59b230ffbf80990f1c763373ea94cebc971346465
- Size of remote file:
- 5.5 kB
- SHA256:
- c5157ab437fe523822b81fe53213dac8165d0b22206bac80bb99fca497c91915
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