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 /Jul25_14-54-19_76285ed1baed /events.out.tfevents.1721919263.76285ed1baed.1097.0
- Xet hash:
- 0199045710436cf7385e7d5204e26ad1a56d0f215f1c2bc3f7f087b82d8a4b52
- Size of remote file:
- 6.71 kB
- SHA256:
- 230e8c8a06d5c31017ea2df9afeac24d1ed3a213410d17fc3bc3ad440bd8e5ce
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