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:
- 6ea212bdb57ba9055ce55dcd92924abdd43eae9176d41c2290bc9fcc0fe018c7
- Size of remote file:
- 27.3 MB
- SHA256:
- ad4c9a59b2af948de41d74cec2d29d71d51a12e505a71b889588d255ddc6200b
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