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:
- 8fe6f8bfe23cbbc21a2d91bbd6d28f79bad3817d416fc6a3007e0524f934f4dc
- Size of remote file:
- 7.35 kB
- SHA256:
- 81a35543417b865f827c1a76f5b4054cd3f3317578decc2266ccf3fcc1a61ec1
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