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:
- eff1ebec489234325ac8cf3b157f8c1437528cac581a33f265675409abbc2ee7
- Size of remote file:
- 5.5 kB
- SHA256:
- 2e1cf2de6cc6f93a82bf14dd9cebcaa7110512cd88d5fb7b4b63a9016f0d26d1
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