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:
- 82db06242f34de5931a6b56bf995e10ede2c8f82a141e724db83db8e0b011456
- Size of remote file:
- 6.71 kB
- SHA256:
- 62a10dd29ca5ca840cf6abe5b9863b3df07649701cb4a9d4aa6e784fa7712a07
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