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 /Jul24_05-55-09_a61397f46b7d /events.out.tfevents.1721800512.a61397f46b7d.5712.0
- Xet hash:
- e70fbbbb07ed4b69b305e2abdb7d69813ab2527dcb24bdf0db6a4d3b7266e170
- Size of remote file:
- 6.71 kB
- SHA256:
- 2f771cd849020c461096b3861e183fad31d2cc8e977c74bab0d81a0671e692a1
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