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
dataset.json / runs /Jul28_15-11-31_0a21f099db3d /events.out.tfevents.1722179495.0a21f099db3d.1792.0
- Xet hash:
- 46bdfc6e065912ea8fa3be261002ec831670d2a004c6c204aa146249c91a631c
- Size of remote file:
- 6.71 kB
- SHA256:
- b18b89b8a173a25617f4af6136b28d4f62a7df69d7dfe6f64e1794ccad1cb330
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