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:
- 3d00895c8c03af69a8aa587acfdbfb9f7032233bb5acd495c278477bc77a40ca
- Size of remote file:
- 6.72 kB
- SHA256:
- 2b539bbd07eba7c2af355c38eb683375b7c3049a5a4052b174201f4c8020c926
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