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:
- 419f9f8322eb3fca2f90b900d19c90365571761504d3dcaef3865cd902a7e6df
- Size of remote file:
- 6.71 kB
- SHA256:
- 2a5bc4a8f0c792d06b97015041baa38e432101b216d93b418f2d8b295338c80d
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