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 /Jul26_15-37-29_34989cf0c0f6 /events.out.tfevents.1722008252.34989cf0c0f6.9613.0
- Xet hash:
- 7fdc24cf1f64e628dac795f490de31fdc09cf15bbde514492067d0d90bb65af5
- Size of remote file:
- 5.93 kB
- SHA256:
- 2946b1c9ce27ffeb369d2d351d3d017e75ff0693c3a4ad2a3c7ce2e1b4026ad4
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