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:
- 7a8c341adbe8711f281680331baab754bab01d2564142fd3a5ec45b5e7983bd3
- Size of remote file:
- 5.5 kB
- SHA256:
- e4a53d90e43b36c97275be245972035fa541b7a53d18e50a024a5448dd90e3ca
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