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:
- 306b34f1e7a351d3d9201265c7eba298302f90e1bac48a5f14a39c467ee369a2
- Size of remote file:
- 6.71 kB
- SHA256:
- 0a667509b66086b594d6207285ce6bc0f099dee5d36e820a61e1888b3b656a61
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